The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Computational multiqubit tunnelling in programmable quantum annealers
Open accessAbstract
Quantum tunnelling is a phenomenon in which a quantum state traverses energy barriers higher than the energy of the state itself. Quantum tunnelling has been hypothesized as an advantageous physical resource for optimization in quantum annealing. However, computational multiqubit tunnelling has not yet been observed, and a theory of co-tunnelling under high- and low-frequency noises is lacking. Here we show that 8-qubit tunnelling plays a computational role in a currently available programmable quantum annealer. We devise a probe for tunnelling, a computational primitive where classical paths are trapped in a false minimum. In support of the design of quantum annealers we develop a nonperturbative theory of open quantum dynamics under realistic noise characteristics. This theory accurately predicts the rate of many-body dissipative quantum tunnelling subject to the polaron effect. Furthermore, we experimentally demonstrate that quantum tunnelling outperforms thermal hopping along classical paths for problems with up to 200 qubits containing the computational primitive.
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Cites
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Self-citationEvidence for quantum annealing with more than one hundred qubits
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Self-citationQuantum search by local adiabatic evolution
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Defining and detecting quantum speedup
Rønnow, T. F., Wang, Z., Job, J., Boixo, S., Isakov, S. V., Wecker, D., Martinis, J. M., Lidar, D. A., & Troyer, M. (2014) · Science · doi:10.1126/science.1252319 · Cited by 601 · cited 1×
“As in other lines of work, we will choose the number of sweeps to obtain a good correlation with the probability of success of the D-Wave chip for a benchmark of random Ising models with binary couplings J mn A {1, (cid:2) 1} (refs 15,18,20,23).”
BackgroundSelf-citationQuantum Optimization of Fully Connected Spin Glasses
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Self-citationThe quantum adiabatic optimization algorithm and local minima
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Cited by
Albash, T., & Lidar, D. A. (2018) · Reviews of Modern Physics · doi:10.1103/revmodphys.90.015002 · Cited by 1,546
Superconducting Qubits: Current State of Play
Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D. (2020) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031119-050605 · Cited by 1,544
Microwave photonics with superconducting quantum circuits
Gu, X., Kockum, A. F., Miranowicz, A., Liu, Y.-X., & Nori, F. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.10.002 · Cited by 1,307
Quantum information processing with superconducting circuits: a review
Wendin, G. (2017) · Reports on Progress in Physics · doi:10.1088/1361-6633/aa7e1a · Cited by 890
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz
Hadfield, S., Wang, Z., O’Gorman, B., Rieffel, E. G., Venturelli, D., & Biswas, R. (2019) · Algorithms · doi:10.3390/a12020034 · Cited by 772
Metadata
- Authors
- Boixo, S., Smelyanskiy, V. N., Shabani, A., Isakov, S. V., Dykman, M., Denchev, V. S., Amin, M. H., Smirnov, A. Y., Mohseni, M., & Neven, H.
- Venue
- Nature Communications
- Published
- 2016-01-07
- Volume
- 7
- Issue
- 1
- Pages
- 10327-10327
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2253909748
- Cited by
- 233
- References
- 9
- FWCI
- 32.09
- Type
- journal article
- Language
- en
- Open access
- gold
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