Quantum process tomography of the quantum Fourier transform
Open accessAbstract
The results of quantum process tomography on a three-qubit nuclear magnetic resonance quantum information processor are presented and shown to be consistent with a detailed model of the system-plus-apparatus used for the experiments. The quantum operation studied was the quantum Fourier transform, which is important in several quantum algorithms and poses a rigorous test for the precision of our recently developed strongly modulating control fields. The results were analyzed in an attempt to decompose the implementation errors into coherent (overall systematic), incoherent (microscopically deterministic), and decoherent (microscopically random) components. This analysis yielded a superoperator consisting of a unitary part that was strongly correlated with the theoretically expected unitary superoperator of the quantum Fourier transform, an overall attenuation consistent with decoherence, and a residual portion that was not completely positive—although complete positivity is required for any quantum operation. By comparison with the results of computer simulations, the lack of complete positivity was shown to be largely a consequence of the incoherent errors which occurred over the full quantum process tomography procedure. These simulations further showed that coherent, incoherent, and decoherent errors can often be identified by their distinctive effects on the spectrum of the overall superoperator. The gate fidelity of the experimentally determined superoperator was 0.64, while the correlation coefficient between experimentally determined superoperator and the simulated superoperator was 0.79; most of the discrepancies with the simulations could be explained by the cummulative effect of small errors in the single qubit gates.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Experimental results suggest that even a structured transformation such as the quantum Fourier transform is sufficiently complex to approximately average the cumulative noise to an effective depolarizing channel.
“Indeed the experimental results of Ref. [2] suggest that even a structured transformation such as the quantum Fourier transform is sufficiently complex to approximately average the cumulative noise to an effective depolarizing channel”
From Scalable noise estimation with random unitary operators (2005) · cites this paper as [2]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Shor, P. W. (1997) · SIAM Journal on Computing · doi:10.1137/s0097539795293172 · Cited by 8,472 · see citing works
Principles of Nuclear Magnetic Resonance in One and Two Dimensions
Ernst, R. R., Bodenhausen, G., Wokaun, A. J., & Redfield, A. G. (1989) · Physics Today · doi:10.1063/1.2811094 · Cited by 4,202 · see citing works
Principles of Nuclear Magnetic Resonance in One and Two Dimensions
Ernst, R. R., Bodenhausen, G., & Wokaun, A. (1990) · doi:10.1093/oso/9780198556473.001.0001 · Cited by 1,418 · see citing works
Prescription for experimental determination of the dynamics of a quantum black box
Chuang, I. L., & Nielsen, M. A. (1997) · Journal of Modern Optics · doi:10.1080/09500349708231894 · Cited by 949 · see citing works
Sending entanglement through noisy quantum channels
Schumacher, B. W. (1996) · Physical Review A · doi:10.1103/physreva.54.2614 · Cited by 824 · see citing works
Levitt, M. H. (1986) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/0079-6565(86)80005-x · Cited by 779 · see citing works
Complete Characterization of a Quantum Process: The Two-Bit Quantum Gate
Poyatos, J. F., Cirac, J. I., & Zoller, P. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.390 · Cited by 694 · see citing works
The Data Encryption Standard (DES) and its strength against attacks
Coppersmith, D. (1994) · IBM Journal of Research and Development · doi:10.1147/rd.383.0243 · Cited by 616 · see citing works
Simulating quantum systems on a quantum computer
Zalka, C. (1998) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.1998.0162 · Cited by 387 · see citing works
Advances in imaging and electron physics
Myridis, N. E. (2018) · Contemporary Physics · doi:10.1080/00107514.2018.1531935 · Cited by 341 · see citing works
Implementation of the Quantum Fourier Transform
Weinstein, Y. S., Pravia, M. A., Fortunato, E. M., Lloyd, S., & Cory, D. G. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.1889 · Cited by 285 · see citing works
Self-citationFortunato, E. M., Pravia, M. A., Boulant, N., Teklemariam, G., Havel, T. F., & Cory, D. G. (2002) · The Journal of Chemical Physics · doi:10.1063/1.1465412 · Cited by 243 · see citing works
Self-citationRealization of quantum process tomography in NMR
Childs, A. M., Chuang, I. L., & Leung, D. W. (2001) · Physical Review A · doi:10.1103/physreva.64.012314 · Cited by 205 · see citing works
Quantum algorithms and the Fourier transform
Jozsa, R. (1998) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.1998.0163 · Cited by 205 · see citing works
Broadband Population Inversion
Tycko, R. (1983) · Physical Review Letters · doi:10.1103/physrevlett.51.775 · Cited by 197 · see citing works
Štelmachovič, P., & Bužek, V. (2001) · Physical Review A · doi:10.1103/physreva.64.062106 · Cited by 173 · see citing works
NMR Based Quantum Information Processing: Achievements and Prospects
Cory, D. G., Laflamme, R., Knill, E. H., Viola, L., Havel, T. F., Boulant, N., Boutis, G. S., Fortunato, E. M., Lloyd, S., Martínez, R., et al. (2000) · CERN Document Server (European Organization for Nuclear Research) · Cited by 170 · see citing works
Self-citationHavel, T. F. (2003) · Journal of Mathematical Physics · doi:10.1063/1.1518555 · Cited by 169 · see citing works
Self-citationQuantum algorithms and the Fourier transform
Jozsa, R. (1997) · Cited by 149 · see citing works
Quantum computers in phase space
Miquel, C., Paz, J. P., & Saraceno, M. (2002) · Physical Review A · doi:10.1103/physreva.65.062309 · Cited by 147 · see citing works
Self-citationChoi’s proof as a recipe for quantum process tomography
Leung, D. (2003) · Journal of Mathematical Physics · doi:10.1063/1.1518554 · Cited by 101 · see citing works
Robust control of quantum information
Pravia, M. A., Boulant, N., Emerson, J., Farid, A. M., Fortunato, E. M., Havel, T. F., Martínez, R., & Cory, D. G. (2003) · The Journal of Chemical Physics · doi:10.1063/1.1619132 · Cited by 94 · see citing works
Self-citationUsing a quantum computer to investigate quantum chaos
Schack, R. (1998) · Physical Review A · doi:10.1103/physreva.57.1634 · Cited by 94 · see citing works
Boulant, N., Havel, T. F., Pravia, M. A., & Cory, D. G. (2003) · Physical Review A · doi:10.1103/physreva.67.042322 · Cited by 94 · see citing works
Self-citationExperimental Implementation of the Quantum Baker’s Map
Weinstein, Y. S., Lloyd, S., Emerson, J., & Cory, D. G. (2002) · Physical Review Letters · doi:10.1103/physrevlett.89.157902 · Cited by 82 · see citing works
Self-citationExpressing the operations of quantum computing in multiparticle geometric algebra
Somaroo, S. S., Cory, D. G., & Havel, T. F. (1998) · Physics Letters A · doi:10.1016/s0375-9601(98)00010-3 · Cited by 74 · see citing works
Self-citationNMR Analog of the Quantum Disentanglement Eraser
Teklemariam, G., Fortunato, E. M., Pravia, M. A., Havel, T. F., & Cory, D. G. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.5845 · Cited by 63 · see citing works
Self-citationŠtelmachovič, P., & Bužek, V. (2003) · Physical Review A · doi:10.1103/physreva.67.029902 · Cited by 45 · see citing works
Boulant, N., Edmonds, K. M., Yang, J. Z., Pravia, M. A., & Cory, D. G. (2003) · Physical Review A · doi:10.1103/physreva.68.032305 · Cited by 36 · see citing works
Self-citationHavel, T. F., Sharf, Y., Viola, L., & Cory, D. G. (2001) · Physics Letters A · doi:10.1016/s0375-9601(01)00083-4 · Cited by 31 · see citing works
Self-citationMeasuring Quantum Optical Hamiltonians
D’Ariano, G. M., & Maccone, L. (1998) · Physical Review Letters · doi:10.1103/physrevlett.80.5465 · Cited by 28 · see citing works
Multiqubit logic gates in NMR quantum computing
Price, M. D., Havel, T. F., & Cory, D. G. (2000) · New Journal of Physics · doi:10.1088/1367-2630/2/1/10 · Cited by 26 · see citing works
Self-citationHavel, T. F. (2002) · Quantum Information Processing · doi:10.1023/a:1024026700444 · Cited by 16 · see citing works
Self-citationThe Physical Implementation of Quantum Computation
DiVincenzo, D. P. (2000) · Fortschritte der Physik · doi:10.1002/1521-3978(200009)48:9/11
Self-citation
Flagged first, then by citations
Research works printed but not linked: 4
- [11]K. Kraus, States, Effects, and Operations (Springer-Verlag, Berlin, FRG, 1983).
- [17]R. Jozsa, Proc. Roy. Soc. Lond. 454 (1998).
- [18]C. Zalka, Proc. Roy. Soc. Lond. A 454 313-322, (1998); S. Wiesner, quant-ph/9603028. · arXiv
- [23]T.F. Havel, Quant. Inf. Proc., 1 , 511, (2003).
Cited by
Sorted by citations
Trapped-ion quantum computing: Progress and challenges
Bruzewicz, C. D., Chiaverini, J., McConnell, R., & Sage, J. M. (2019) · Applied Physics Reviews · doi:10.1063/1.5088164 · Cited by 1,483 · see citing works
Experimental one-way quantum computing
Walther, P., Resch, K. J., Rudolph, T., Schenck, E., Weinfurter, H., Vedral, V., Aspelmeyer, M., & Zeilinger, A. (2005) · Nature · doi:10.1038/nature03347 · Cited by 1,273 · see citing works
“While quantum process and state tomography has been performed with up to three qubits 28,29 this is the first time that a four-qubit density matrix has been determined from a complete, experimentally-obtained density matrix.”
MethodRandomized benchmarking of quantum gates
Knill, E., Leibfried, D., Reichle, R., Britton, J., Blakestad, R. B., Jost, J. D., Langer, C., Ozeri, R., Seidelin, S., & Wineland, D. J. (2008) · Physical Review A · doi:10.1103/physreva.77.012307 · Cited by 1,019 · see citing works
Scalable and Robust Randomized Benchmarking of Quantum Processes
Magesan, E., Gambetta, J., & Emerson, J. (2011) · Physical Review Letters · doi:10.1103/physrevlett.106.180504 · Cited by 715 · see citing works
Self-citationExact and approximate unitary 2-designs and their application to fidelity estimation
Dankert, C., Cleve, R., Emerson, J., & Livine, E. R. (2009) · Physical Review A · doi:10.1103/physreva.80.012304 · Cited by 683 · see citing works
Self-citationScalable noise estimation with random unitary operators
Emerson, J., Alicki, R., & Życzkowski, K. (2005) · Journal of Optics B: Quantum and Semiclassical Optics · doi:10.1088/1464-4266/7/10/021 · Cited by 502 · see citing works
Self-citationExperimental Realization of Nonadiabatic Holonomic Quantum Computation
Feng, G., Xu, G., & Long, G. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.190501 · Cited by 426 · see citing works
Quantum-process tomography: Resource analysis of different strategies
Mohseni, M., Rezakhani, A. T., & Lidar, D. A. (2008) · Physical Review A · doi:10.1103/physreva.77.032322 · Cited by 417 · see citing works
Blume-Kohout, R., Gamble, J. K., Nielsen, E., Rudinger, K., Mizrahi, J., Fortier, K., & Maunz, P. (2017) · Nature Communications · doi:10.1038/ncomms14485 · Cited by 407 · see citing works
Characterizing large-scale quantum computers via cycle benchmarking
Erhard, A., Wallman, J. J., Postler, L., Meth, M., Stricker, R., Martinez, E. A., Schindler, P., Monz, T., Emerson, J., & Blatt, R. (2019) · Nature Communications · doi:10.1038/s41467-019-13068-7 · Cited by 254 · see citing works
Self-citationPseudo-Random Unitary Operators for Quantum Information Processing
Emerson, J., Weinstein, Y. S., Saraceno, M., Lloyd, S., & Cory, D. G. (2003) · Science · doi:10.1126/science.1090790 · Cited by 228 · see citing works
Self-citationEfficient Measurement of Quantum Dynamics via Compressive Sensing
Shabani, A., Kosut, R. L., Mohseni, M., RABITZ, H. A., Broome, M. A., de Almeida, M. P., Fedrizzi, A., & White, A. G. (2011) · Physical Review Letters · doi:10.1103/physrevlett.106.100401 · Cited by 229 · see citing works
Nielsen, E., Gamble, J. K., Rudinger, K., Scholten, T. L., Young, K., & Blume-Kohout, R. (2021) · Quantum · doi:10.22331/q-2021-10-05-557 · Cited by 212 · see citing works
Benchmarking Quantum Control Methods on a 12-Qubit System
Negrevergne, C., Mahesh, T. S., Ryan, C. A., Ditty, M. J. T., Cyr-Racine, F.-Y., Power, W. P., Boulant, N., Havel, T. F., Cory, D. G., & Laflamme, R. (2006) · Physical Review Letters · doi:10.1103/physrevlett.96.170501 · Cited by 200 · see citing works
Self-citationRobust online Hamiltonian learning
Granade, C., Ferrie, C., Wiebe, N., & Cory, D. G. (2012) · New Journal of Physics · doi:10.1088/1367-2630/14/10/103013 · Cited by 189 · see citing works
Self-citationJones, J. A. (2010) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2010.11.001 · Cited by 185 · see citing works
Quantum Stochastic Processes and Quantum non-Markovian Phenomena
Milz, S., & Modi, K. K. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.030201 · Cited by 183 · see citing works
Xu, Y., Cai, W., Ma, Y., Mu, X., Hu, L., Chen, T., Wang, H., Song, Y., Xue, Z., Yin, Z., et al. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.110501 · Cited by 163 · see citing works
Implementation of the Semiclassical Quantum Fourier Transform in a Scalable System
Chiaverini, J., Britton, J., Leibfried, D. G., Knill, E. H., Barrett, M. D., Blakestad, R. B., Itano, W. M., Jost, J. D., Langer, C., Ozeri, R., et al. (2005) · Science · doi:10.1126/science.1110335 · Cited by 153 · see citing works
Liquid-state nuclear magnetic resonance as a testbed for developing quantum control methods
Ryan, C. A., Negrevergne, C., Laforest, M., Knill, E. H., & Laflamme, R. (2008) · Physical Review A · doi:10.1103/physreva.78.012328 · Cited by 141 · see citing works
A quantum advantage for inferring causal structure
Ried, K., Agnew, M., Vermeyden, L., Janzing, D., Spekkens, R. W., & Resch, K. J. (2015) · Nature Physics · doi:10.1038/nphys3266 · Cited by 131 · see citing works
Recovering entanglement by local operations
D’Arrigo, A., Franco, R. L., Benenti, G., Paladino, E., & Falci, G. (2014) · Annals of Physics · doi:10.1016/j.aop.2014.07.021 · Cited by 125 · see citing works
Dynamics beyond completely positive maps: Some properties and applications
Carteret, H. A., Terno, D. R., & Życzkowski, K. (2008) · Physical Review A · doi:10.1103/physreva.77.042113 · Cited by 118 · see citing works
Robust Extraction of Tomographic Information via Randomized Benchmarking
Kimmel, S., Silva, M. P. D., Ryan, C. A., Johnson, B., & Ohki, T. (2014) · Physical Review X · doi:10.1103/physrevx.4.011050 · Cited by 117 · see citing works
Quantum process tomography and Linblad estimation of a solid-state qubit
Howard, M., Twamley, J., Wittmann, C., Gaebel, T., Jelezko, F., & Wrachtrup, J. (2006) · New Journal of Physics · doi:10.1088/1367-2630/8/3/033 · Cited by 114 · see citing works
Experimental realization of single-shot nonadiabatic holonomic gates in nuclear spins
Li, H., Liu, Y., & Long, G. (2017) · Science China Physics Mechanics and Astronomy · doi:10.1007/s11433-017-9058-7 · Cited by 104 · see citing works
Tensor networks and graphical calculus for open quantum systems
Wood, C. J., Biamonte, J., & Cory, D. G. (2015) · Quantum Information and Computation · doi:10.26421/qic15.9-10-3 · Cited by 102 · see citing works
Self-citationBruzda, W., Cappellini, V., Sommers, H.-J., & Życzkowski, K. (2008) · Physics Letters A · doi:10.1016/j.physleta.2008.11.043 · Cited by 94 · see citing works
Quantum process tomography with unsupervised learning and tensor networks
Torlai, G., Wood, C. J., Acharya, A., Carleo, G., Carrasquilla, J., & Aolita, L. (2023) · Nature Communications · doi:10.1038/s41467-023-38332-9 · Cited by 97 · see citing works
Operational approach to open dynamics and quantifying initial correlations
Modi, K. K. (2012) · Scientific Reports · doi:10.1038/srep00581 · Cited by 89 · see citing works
Spins as qubits: Quantum information processing by nuclear magnetic resonance
Suter, D., & Mahesh, T. S. (2008) · The Journal of Chemical Physics · doi:10.1063/1.2838166 · Cited by 74 · see citing works
An Introduction to Operational Quantum Dynamics
Milz, S., Pollock, F. A., & Modi, K. K. (2017) · Open Systems & Information Dynamics · doi:10.1142/s1230161217400169 · Cited by 80 · see citing works
Quantum state and process tomography of energy transfer systems via ultrafast spectroscopy
Yuen-Zhou, J. Y., Krich, J. J., Mohseni, M., & Aspuru‐Guzik, A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110642108 · Cited by 75 · see citing works
Quantum process tomography and Linblad estimation of a solid state qubit
Howard, M., Gaebel, T., Jelezko, F., Twamley, J., Wittmann, C., & Wrachtrup, J. (2006) · CERN Document Server (European Organization for Nuclear Research) · Cited by 75 · see citing works
Compressed sensing quantum process tomography for superconducting quantum gates
Rodionov, A. V., Veitia, A., Barends, R., Kelly, J., Sank, D., Wenner, J., Martinis, J. M., Kosut, R. L., & Korotkov, A. N. (2014) · Physical Review B · doi:10.1103/physrevb.90.144504 · Cited by 68 · see citing works
Efficient error characterization in quantum information processing
Lévi, B., López, C. C., Emerson, J., & Cory, D. G. (2007) · Physical Review A · doi:10.1103/physreva.75.022314 · Cited by 65 · see citing works
Self-citationYuen-Zhou, J. Y., & Aspuru‐Guzik, A. (2011) · The Journal of Chemical Physics · doi:10.1063/1.3569694 · Cited by 61 · see citing works
Tomographic measurements on superconducting qubit states
Liu, Y.-X., Wei, L. F., & Nori, F. (2005) · Physical Review B · doi:10.1103/physrevb.72.014547 · Cited by 63 · see citing works
Three path interference using nuclear magnetic resonance: a test of the consistency of Born's rule
Park, D. K., Moussa, O., & Laflamme, R. (2012) · New Journal of Physics · doi:10.1088/1367-2630/14/11/113025 · Cited by 63 · see citing works
Operational approach to open dynamics and quantifying initial correlationsPreprint
Modi, K. K. (2012) · Cited by 72 · see citing works
Direct characterization of quantum dynamics: General theory
Mohseni, M., & Lidar, D. A. (2007) · Physical Review A · doi:10.1103/physreva.75.062331 · Cited by 61 · see citing works
Experimental Estimation of Average Fidelity of a Clifford Gate on a 7-Qubit Quantum Processor
Lu, D., Li, H., Trottier, D., Li, J., Brodutch, A., Krismanich, A. P., Ghavami, A., Dmitrienko, G. I., Long, G., Baugh, J., et al. (2015) · Physical Review Letters · doi:10.1103/physrevlett.114.140505 · Cited by 59 · see citing works
Yuen-Zhou, J. Y., Arias, D. H., Eisele, D. M., Steiner, C. P., Krich, J. J., Bawendi, M. G., Nelson, K. A., & Aspuru‐Guzik, A. (2014) · ACS Nano · doi:10.1021/nn406107q · Cited by 55 · see citing works
Tomography is Necessary for Universal Entanglement Detection with Single-Copy Observables
Lu, D., Xin, T., Yu, N., Ji, Z., Chen, J., Long, G., Baugh, J., Peng, X., Zeng, B., & Laflamme, R. (2016) · Physical Review Letters · doi:10.1103/physrevlett.116.230501 · Cited by 50 · see citing works
How state preparation can affect a quantum experiment: Quantum process tomography for open systems
Kuah, A.-M., Modi, K. K., Rodríguez-Rosario, C. A., & Sudarshan, E. C. G. (2007) · Physical Review A · doi:10.1103/physreva.76.042113 · Cited by 48 · see citing works
Practical Experimental Certification of Computational Quantum Gates Using a Twirling Procedure
Moussa, O., Silva, M. P. D., Ryan, C. A., & Laflamme, R. (2012) · Physical Review Letters · doi:10.1103/physrevlett.109.070504 · Cited by 47 · see citing works
Kampermann, H., & Veeman, W. S. (2005) · The Journal of Chemical Physics · doi:10.1063/1.1904595 · Cited by 44 · see citing works
When quantum tomography goes wrong: drift of quantum sources and other errors
van Enk, S. J., & Blume-Kohout, R. (2013) · New Journal of Physics · doi:10.1088/1367-2630/15/2/025024 · Cited by 45 · see citing works
The Complexity of Relating Quantum Channels to Master Equations
Cubitt, T. S., Eisert, J., & Wolf, M. M. (2012) · Communications in Mathematical Physics · doi:10.1007/s00220-011-1402-y · Cited by 44 · see citing works
Role of preparation in quantum process tomography
Modi, K. K., & Sudarshan, E. C. G. (2010) · Physical Review A · doi:10.1103/physreva.81.052119 · Cited by 44 · see citing works
Tractable simulation of error correction with honest approximations to realistic fault models
Puzzuoli, D., Granade, C., Haas, H., Criger, B., Magesan, E., & Cory, D. G. (2014) · Physical Review A · doi:10.1103/physreva.89.022306 · Cited by 41 · see citing works
Self-citationCharacterization of Complex Quantum Dynamics with a Scalable NMR Information Processor
Ryan, C. A., Emerson, J., Poulin, D., Negrevergne, C., & Laflamme, R. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.250502 · Cited by 37 · see citing works
Self-citationProjected Least-Squares Quantum Process Tomography
Surawy-Stepney, T., Kahn, J., Kueng, R., & Guţǎ, M. (2022) · Quantum · doi:10.22331/q-2022-10-20-844 · Cited by 38 · see citing works
Robust and efficientin situquantum control
Ferrie, C., & Moussa, O. (2015) · Physical Review A · doi:10.1103/physreva.91.052306 · Cited by 34 · see citing works
Schmid, D., Ried, K., & Spekkens, R. W. (2019) · Physical Review A · doi:10.1103/physreva.100.022112 · Cited by 37 · see citing works
Two-qubit decoherence mechanisms revealed via quantum process tomography
Kofman, A. G., & Korotkov, A. N. (2009) · Physical Review A · doi:10.1103/physreva.80.042103 · Cited by 36 · see citing works
Experimental protection of quantum gates against decoherence and control errors
Souza, A. M., Álvarez, G. A., & Suter, D. (2012) · Physical Review A · doi:10.1103/physreva.86.050301 · Cited by 36 · see citing works
Gaikwad, A. V., Rehal, D., Singh, A., Arvind, & Dorai, K. (2018) · Physical Review A · doi:10.1103/physreva.97.022311 · Cited by 35 · see citing works
Optimal quantum multiparameter estimation and application to dipole- and exchange-coupled qubits
Young, K. C., Sarovar, M., Kosut, R. L., & Whaley, K. B. (2009) · Physical Review A · doi:10.1103/physreva.79.062301 · Cited by 35 · see citing works
Efficiently improving the performance of noisy quantum computers
Ferracin, S., Hashim, A., Ville, J.-L., Naik, R., Carignan-Dugas, A., Qassim, H., Morvan, A., Santiago, D., Siddiqi, I. A., & Wallman, J. J. (2024) · Quantum · doi:10.22331/q-2024-07-15-1410 · Cited by 46 · see citing works
Gras, V., Luong, M., Amadon, A., & Boulant, N. (2015) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2015.10.017 · Cited by 32 · see citing works
Self-citationPark, A. J., McKay, E., Lu, D., & Laflamme, R. (2016) · New Journal of Physics · doi:10.1088/1367-2630/18/4/043043 · Cited by 28 · see citing works
Searching nonadiabatic holonomic quantum gates via an optimization algorithm
Zhang, F., Zhang, J., Gao, P., & Long, G. (2019) · Physical Review A · doi:10.1103/physreva.100.012329 · Cited by 25 · see citing works
Massire, A., Cloos, M. A., Vignaud, A., Bihan, D. L., Amadon, A., & Boulant, N. (2013) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2013.01.005 · Cited by 27 · see citing works
Self-citationLópez, C. C., Bendersky, A., Paz, J. P., & Cory, D. G. (2010) · Physical Review A · doi:10.1103/physreva.81.062113 · Cited by 27 · see citing works
Self-citationMinimum-Time Selective Control of Homonuclear Spins
Zhang, T.-M., Wu, R.-B., Zhang, F.-H., Tarn, T.-J., & Long, G.-L. (2015) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2015.2390191 · Cited by 24 · see citing works
NMR Quantum Information Processing
Lu, D., Brodutch, A., Park, J., Katiyar, H., Jochym-O’Connor, T., & Laflamme, R. (2016) · Biological magnetic resonance · doi:10.1007/978-1-4939-3658-8_7 · Cited by 27 · see citing works
Lectures on Quantum Tensor NetworksPreprint
Biamonte, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.10049 · Cited by 34 · see citing works
Single-scan quantum process tomography
Shukla, A., & Mahesh, T. S. (2014) · Physical Review A · doi:10.1103/physreva.90.052301 · Cited by 23 · see citing works
Incomplete quantum process tomography and principle of maximal entropy
Ziman, M. (2008) · Physical Review A · doi:10.1103/physreva.78.032118 · Cited by 22 · see citing works
Robust logic gates and realistic quantum computation
Li, X., & Jones, J. A. (2006) · Physical Review A · doi:10.1103/physreva.73.032334 · Cited by 21 · see citing works
Localization in the quantum sawtooth map emulated on a quantum-information processor
Henry, M. K., Emerson, J., Martinez, R., & Cory, D. G. (2006) · Physical Review A · doi:10.1103/physreva.74.062317 · Cited by 20 · see citing works
Self-citationLow-rank density-matrix evolution for noisy quantum circuits
Chen, Y.-T., Farquhar, C., & Parrish, R. M. (2021) · npj Quantum Information · doi:10.1038/s41534-021-00392-4 · Cited by 19 · see citing works
Superoperator analysis of entanglement in a four-qubit cluster state
Weinstein, Y. S., Feldman, J., Robins, J., Zukus, J., & Gilbert, G. N. (2012) · Physical Review A · doi:10.1103/physreva.85.032324 · Cited by 19 · see citing works
Self-citationExperimental accreditation of outputs of noisy quantum computers
Ferracin, S., Merkel, S., McKay, D. C., & Datta, A. (2021) · Physical Review A · doi:10.1103/physreva.104.042603 · Cited by 19 · see citing works
A cost-effective quantum protocol for secure multi-party multiplication
Sutradhar, K., & Om, H. (2021) · Quantum Information Processing · doi:10.1007/s11128-021-03334-3 · Cited by 18 · see citing works
Universality of spectra for interacting quantum chaotic systems
Bruzda, W., Smaczyński, M., Cappellini, V., Sommers, H.-J., & Życzkowski, K. (2010) · Physical Review E · doi:10.1103/physreve.81.066209 · Cited by 18 · see citing works
Shukla, A., Sisodia, M., & Pathak, A. (2020) · Physics Letters A · doi:10.1016/j.physleta.2020.126387 · Cited by 17 · see citing works
Fourier’s Quantum Information Processing
Mastriani, M. (2021) · SN Computer Science · doi:10.1007/s42979-021-00530-x · Cited by 16 · see citing works
Controlling NMR spin systems for quantum computation
Jones, J. A. (2024) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2024.02.002 · Cited by 18 · see citing works
Efficient tomography of quantum-optical Gaussian processes probed with a few coherent states
Wang, X., Yu, Z., Hu, J., Miranowicz, A., & Nori, F. (2013) · Physical Review A · doi:10.1103/physreva.88.022101 · Cited by 16 · see citing works
Adiabatic theorem in the presence of noise
O’Hara, M. J., & O’Leary, D. P. (2008) · Physical Review A · doi:10.1103/physreva.77.042319 · Cited by 16 · see citing works
Experimental quantum deletion in an NMR quantum information processor
Yu, L., Feng, G., Pearson, J., & Long, G. (2014) · Science China Physics Mechanics and Astronomy · doi:10.1007/s11433-014-5494-1 · Cited by 15 · see citing works
Quantum algorithms for enhanced educational technologies
Hanafi, B., Ali, M., & Singh, D. (2025) · Discover Education · doi:10.1007/s44217-025-00400-1 · Cited by 15 · see citing works
Optimal processing of reversible quantum channels
Bisio, A., D’Ariano, G. M., Perinotti, P., & Sedlák, M. (2014) · Physics Letters A · doi:10.1016/j.physleta.2014.04.042 · Cited by 15 · see citing works
López, C. C., Lévi, B., & Cory, D. G. (2009) · Physical Review A · doi:10.1103/physreva.79.042328 · Cited by 15 · see citing works
Self-citationEntropy bounds for quantum processes with initial correlations
Vinjanampathy, S., & Modi, K. K. (2015) · Physical Review A · doi:10.1103/physreva.92.052310 · Cited by 14 · see citing works
Characterization of how dissipation and dephasing errors accumulate in quantum computers
Gulliksen, J., Dasari, D. B. R., & Mølmer, K. (2015) · EPJ Quantum Technology · doi:10.1140/epjqt17 · Cited by 13 · see citing works
Enhancing Quantum Control by Improving Shaped-Pulse Generation
Peterson, J. P. S., Sarthour, R. S., & Laflamme, R. (2020) · Physical Review Applied · doi:10.1103/physrevapplied.13.054060 · Cited by 13 · see citing works
Memory effects in quantum processes
Taranto, P. (2020) · International Journal of Quantum Information · doi:10.1142/s0219749919410028 · Cited by 14 · see citing works
Quantum Optimal Control: Practical Aspects and Diverse Methods
Mahesh, T. S., Batra, P., & Ram, M. H. (2022) · Journal of the Indian Institute of Science · doi:10.1007/s41745-022-00311-2 · Cited by 12 · see citing works
On non-completely positive quantum dynamical maps on spin chains
Majewski, W. A. (2007) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8113/40/38/006 · Cited by 11 · see citing works
Rong, X., Lu, D., Kong, X., Geng, J., Wang, Y., Shi, F., Duan, C., & Du, J. (2016) · Advances in Physics X · doi:10.1080/23746149.2016.1266914 · Cited by 11 · see citing works
Natural light harvesting systems: unraveling the quantum puzzles
Thilagam, A. (2014) · Journal of Mathematical Chemistry · doi:10.1007/s10910-014-0442-x · Cited by 11 · see citing works
Implementation of State Transfer Hamiltonians in Spin Chains with Magnetic Resonance Techniques
Cappellaro, P. (2013) · Springer eBooks · doi:10.1007/978-3-642-39937-4_6 · Cited by 10 · see citing works
Continuous-time dynamics and error scaling of noisy highly entangling quantum circuits
Donatella, K., Denis, Z., Boité, A. L., & Ciuti, C. (2021) · Physical Review A · doi:10.1103/physreva.104.062407 · Cited by 10 · see citing works
Full Quantum Process Tomography of a Universal Entangling Gate on an IBM’s Quantum Computer
AbuGhanem, M. (2025) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-025-10391-8 · Cited by 10 · see citing works
Liu, Y., & Zhang, F. (2015) · Science China Physics Mechanics and Astronomy · doi:10.1007/s11433-015-5661-z · Cited by 9 · see citing works
Optimizing quantum gates within decoherence-free subspaces
Hu, X., Zhang, F., Li, Y., & Long, G. (2021) · Physical Review A · doi:10.1103/physreva.104.062612 · Cited by 8 · see citing works
Optimized entanglement-assisted quantum error correction
Taghavi, S., Brun, T. A., & Lidar, D. A. (2010) · Physical Review A · doi:10.1103/physreva.82.042321 · Cited by 9 · see citing works
- Authors
- Weinstein, Y. S., Havel, T. F., Emerson, J., Boulant, N., Saraceno, M., Lloyd, S., & Cory, D. G.
- Affiliations
- Massachusetts Institute of Technology (US)
- Comisión Nacional de Energía Atómica (AR)
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2004-10-01
- Volume
- 121
- Issue
- 13
- Pages
- 6117-6133
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W1986937067
- Cited by
- 178
- References
- 34
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 12 · 2020: 4 · 2019: 8 · 2018: 7 · 2017: 4 · 2016: 6 · 2015: 13 · 2014: 13 · 2013: 11 · 2012: 10
- FWCI
- 9.81
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- The Journal of Chemical Physics (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
- Keywords
- quantum process tomography, quantum Fourier transform, three-qubit systems, decoherence, complete positivity, gate fidelity, quantum gate errors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review