Cited by 193Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Advantages of using relative-phase Toffoli gates with an application to multiple control Toffoli optimization

Open access
Maslov, Dmitri·2016·Physical Review A

Abstract

Various implementations of the Toffoli gate up to a relative phase have been known for years. The advantage over the regular Toffoli gate is its smaller circuit size. However, its use has been often limited to a demonstration of quantum control in designs such as those where the Toffoli gate is being applied last or otherwise for some specific reasons the relative phase does not matter. It was commonly believed that the relative-phase deviations would prevent the relative-phase Toffoli gates from being very helpful in practical large-scale designs. In this paper, we report three circuit identities that provide the means for replacing certain configurations of the multiple control Toffoli gates with their simpler relative-phase implementations, up to a selectable unitary on certain qubits, and without changing the overall functionality. We illustrate the advantage via applying those identities to the optimization of the known circuits implementing multiple control Toffoli gates, and report the reductions in the controlled-not count, $T$count, as well as the number of ancillae used. We suggest that a further study of the relative-phase Toffoli implementations and their use may yield other optimizations.

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Citations

Cites

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    Nielsen, M. A., Chuang, I., & Grover, L. K. (2002) · American Journal of Physics · doi:10.1119/1.1463744 · Cited by 21,895

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    Barenco, A., Bennett, C. H., Cleve, R., DiVincenzo, D. P., Margolus, N., Shor, P., Sleator, T., Smolin, J. A., & Weinfurter, H. (1995) · Physical Review A · doi:10.1103/physreva.52.3457 · Cited by 4,311 · cited 1×

    “We illustrate the advantage via applying those identities to the optimization of the known circuits implementing multiple control Toffoli gates, and report the reductions in the CNOT-count, T - count, as well as the number of ancillae used.”
    Method
  • Superconducting Circuits for Quantum Information: An Outlook

    Devoret, M., & Schoelkopf, R. J. (2013) · Science · doi:10.1126/science.1231930 · Cited by 2,197 · cited 1×

    “-level implementations, and fault-tolerant gates on the logical level. Given the limitations of the current quantum control even in the most promising and developed ions traps [7] and superconducting [4] quantum information processing approaches, coupled with an observation that even the smallest of non-linear (consid…”
    Background
  • Universal quantum computation with ideal Clifford gates and noisy ancillas

    Bravyi, S., & Kitaev, A. (2005) · Physical Review A · doi:10.1103/physreva.71.022316 · Cited by 1,525 · cited 1×

    “The known approaches employ state purification and gate teleportation as a means of generating the T gate, that can get quite costly in the realistic systems [3].”
    Background
  • Quantum Computation with Ions in Thermal Motion

    Sørensen, A. S., & Mølmer, K. (1999) · Physical Review Letters · doi:10.1103/physrevlett.82.1971 · Cited by 1,088 · cited 1×

    “Indeed, trapped ions with Molmer-Sorenson gate [10] operate in the weak coupling regime (two-qubit gates take roughly 20 fold effort to implement compared to arbitrary single-qubit gates), and Molmer-Sorenson gate itself is equivalent to the CNOT up to a conjugation by a pair of RZ(a) and RZ(−a) gates on both qubits,…”
    Method
  • Scaling the Ion Trap Quantum Processor

    Monroe, C., & Kim, J. (2013) · Science · doi:10.1126/science.1231298 · Cited by 786 · cited 1×

    “sformations for physical-level implementations, and fault-tolerant gates on the logical level. Given the limitations of the current quantum control even in the most promising and developed ions traps [7] and superconducting [4] quantum information processing approaches, coupled with an observation that even the smalle…”
    Background
  • Polynomial-Time T-Depth Optimization of Clifford+T Circuits Via Matroid Partitioning

    Amy, M., Maslov, D. A., & Mosca, M. (2014) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2014.2341953 · Cited by 319 · cited 9×

    “We can furthermore explain how to obtain the solution with 12k − 20 T gates to implement a kcontrolled Toffoli gate using k−2 unrestricted ancilla featured in [1] without resorting to a computer optimization.”
    BackgroundMethodInfluentialSelf-citation
  • Quantum circuits of T-depth one

    Selinger, P. (2012) · arXiv.org · doi:10.1103/physreva.87.042302 · Cited by 252 · cited 10×

    “b • • c Z H T T † T T † H Figure 2: Toffoli gate implemented up to a relative phase: gates 1-10 implement a type-{c} special relative phase Toffoli gate, known as the controlled-controlled-iX in [12], whereas circuit with gates 2-10 implements some generic relative phase Toffoli gate.”
    BackgroundMethodInfluential
  • Quantum Circuit Simplification and Level Compaction

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    “The optimization in [6] is motivated by a computational model where the two-qubit interaction given by diag{I,X±t}, where t ∈ R[0, 1] and X is Pauli-X , is tunable and parametrized by time.”
    BackgroundMethodInfluentialSelf-citation

Show all 11 references

Research works printed but not linked: 3

  1. A. M. Childs, 2003, Proceedings of the thirty-fifth annual ACM symposium on Theory of computing STOC '03
  2. G. Song, 2004, Quantum Inf. Comput., 4, 361
  3. V. V. Shende, 2009, Quantum Inf. Comput., 9, 461

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Metadata

Authors
Maslov, D.
Affiliations
U.S. National Science Foundation (US)
Corresponding author
Maslov, Dmitri
Venue
Physical Review A
Published
2016-02-10
Volume
93
Issue
2
ISSN
  • 0556-2791 (ISSN-L)
  • 2469-9926
  • 2469-9934
OpenAlex
W1749786511
Cited by
193
References
11
Citations by year
2026: 17 · 2025: 19 · 2024: 28 · 2023: 23 · 2022: 30 · 2021: 23 · 2020: 17 · 2019: 12 · 2018: 8 · 2017: 10 · 2016: 5
FWCI
9.61
Type
journal article
Language
en
Open access
Locations
  • Physical Review A (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Science Foundation
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Quantum-Dot Cellular Automata
Keywords
quantum circuit synthesis

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