Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, Arnimallee 14, 14195 Berlin, Germany
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Abstract
Despite significant overhead reductions since its first proposal, magic state distillation is often considered to be a very costly procedure that dominates the resource cost of fault-tolerant quantum computers. The goal of this work is to demonstrate that this is not true. By writing distillation circuits in a form that separates qubits that are capable of error detection from those that are not, most logical qubits used for distillation can be encoded at a very low code distance. This significantly reduces the space-time cost of distillation, as well as the number of qubits. In extreme cases, it can cost less to distill a magic state than to perform a logical Clifford gate on full-distance logical qubits.
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► References
[1] J. Preskill, Reliable quantum computers, Proc. Roy. Soc. Lond. A 454, 385 (1998).
https://doi.org/10.1098/rspa.1998.0167
[2] B. M. Terhal, Quantum error correction for quantum memories, Rev. Mod. Phys. 87, 307 (2015).
https://doi.org/10.1103/RevModPhys.87.307
[3] E. T. Campbell, B. M. Terhal, and C. Vuillot, Roads towards fault-tolerant universal quantum computation, Nature 549, 172 (2017).
https://doi.org/10.1038/nature23460
[4] A. Y. Kitaev, Fault-tolerant quantum computation by anyons, Ann. Phys. 303, 2 (2003).
https://doi.org/10.1016/S0003-4916(02)00018-0
[5] A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland, Surface codes: Towards practical large-scale quantum computation, Phys. Rev. A 86, 032324 (2012).
https://doi.org/10.1103/PhysRevA.86.032324
[6] C. Horsman, A. G. Fowler, S. Devitt, and R. V. Meter, Surface code quantum computing by lattice surgery, New J. Phys. 14, 123011 (2012).
https://doi.org/10.1088/1367-2630/14/12/123011
[7] D. Litinski and F. v. Oppen, Lattice Surgery with a Twist: Simplifying Clifford Gates of Surface Codes, Quantum 2, 62 (2018).
https://doi.org/10.22331/q-2018-05-04-62
[8] A. G. Fowler and C. Gidney, Low overhead quantum computation using lattice surgery, arXiv:1808.06709 (2018).
arXiv:1808.06709
[9] S. Bravyi and A. Kitaev, Universal quantum computation with ideal Clifford gates and noisy ancillas, Phys. Rev. A 71, 022316 (2005).
https://doi.org/10.1103/PhysRevA.71.022316
[10] R. Babbush, C. Gidney, D. W. Berry, N. Wiebe, J. McClean, A. Paler, A. Fowler, and H. Neven, Encoding electronic spectra in quantum circuits with linear T complexity, Phys. Rev. X 8, 041015 (2018).
https://doi.org/10.1103/PhysRevX.8.041015
[11] S. Bravyi and J. Haah, Magic-state distillation with low overhead, Phys. Rev. A 86, 052329 (2012).
https://doi.org/10.1103/PhysRevA.86.052329
[12] A. G. Fowler, S. J. Devitt, and C. Jones, Surface code implementation of block code state distillation, Scientific Rep. 3, 1939 (2013).
https://doi.org/10.1038/srep01939
[13] A. M. Meier, B. Eastin, and E. Knill, Magic-state distillation with the four-qubit code, Quant. Inf. Comp. 13, 195 (2013).
arXiv:1204.4221
[14] C. Jones, Multilevel distillation of magic states for quantum computing, Phys. Rev. A 87, 042305 (2013a).
https://doi.org/10.1103/PhysRevA.87.042305
[15] G. Duclos-Cianci and K. M. Svore, Distillation of nonstabilizer states for universal quantum computation, Phys. Rev. A 88, 042325 (2013).
https://doi.org/10.1103/PhysRevA.88.042325
[16] G. Duclos-Cianci and D. Poulin, Reducing the quantum-computing overhead with complex gate distillation, Phys. Rev. A 91, 042315 (2015).
https://doi.org/10.1103/PhysRevA.91.042315
[17] E. T. Campbell and M. Howard, Unified framework for magic state distillation and multiqubit gate synthesis with reduced resource cost, Phys. Rev. A 95, 022316 (2017a).
https://doi.org/10.1103/PhysRevA.95.022316
[18] J. O’Gorman and E. T. Campbell, Quantum computation with realistic magic-state factories, Phys. Rev. A 95, 032338 (2017).
https://doi.org/10.1103/PhysRevA.95.032338
[19] J. Haah and M. B. Hastings, Codes and Protocols for Distilling $T$, controlled-$S$, and Toffoli Gates, Quantum 2, 71 (2018).
https://doi.org/10.22331/q-2018-06-07-71
[20] E. T. Campbell and M. Howard, Magic state parity-checker with pre-distilled components, Quantum 2, 56 (2018).
https://doi.org/10.22331/q-2018-03-14-56
[21] C. Gidney and A. G. Fowler, Efficient magic state factories with a catalyzed $|CCZrangle$ to $2|Trangle$ transformation, Quantum 3, 135 (2019).
https://doi.org/10.22331/q-2019-04-30-135
[22] C. Jones, P. Brooks, and J. Harrington, Gauge color codes in two dimensions, Phys. Rev. A 93, 052332 (2016).
https://doi.org/10.1103/PhysRevA.93.052332
[23] S. Bravyi and A. Cross, Doubled color codes, arXiv:1509.03239 (2015).
arXiv:1509.03239
[24] T. Jochym-O’Connor and S. D. Bartlett, Stacked codes: Universal fault-tolerant quantum computation in a two-dimensional layout, Phys. Rev. A 93, 022323 (2016).
https://doi.org/10.1103/PhysRevA.93.022323
[25] H. Bombin, 2D quantum computation with 3D topological codes, arXiv:1810.09571 (2018).
arXiv:1810.09571
[26] C. Chamberland and A. W. Cross, Fault-tolerant magic state preparation with flag qubits, Quantum 3, 143 (2019).
https://doi.org/10.22331/q-2019-05-20-143
[27] B. J. Brown, A fault-tolerant non-Clifford gate for the surface code in two dimensions, arXiv:1903.11634 (2019).
arXiv:1903.11634
[28] D. Litinski, A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery, Quantum 3, 128 (2019).
https://doi.org/10.22331/q-2019-03-05-128
[29] M. Amy and M. Mosca, T-count optimization and Reed-Muller codes, IEEE Transactions on Information Theory , 1 (2019).
https://doi.org/10.1109/TIT.2019.2906374
[30] J. Haah, M. B. Hastings, D. Poulin, and D. Wecker, Magic state distillation with low space overhead and optimal asymptotic input count, Quantum 1, 31 (2017).
https://doi.org/10.22331/q-2017-10-03-31
[31] A. J. Landahl and C. Ryan-Anderson, Quantum computing by color-code lattice surgery, arXiv:1407.5103 (2014).
arXiv:1407.5103
[32] Y. Li, A magic state’s fidelity can be superior to the operations that created it, New J. Phys. 17, 023037 (2015).
https://doi.org/10.1088/1367-2630/17/2/023037
[33] J. Lodyga, P. Mazurek, A. Grudka, and M. Horodecki, Simple scheme for encoding and decoding a qubit in unknown state for various topological codes, Scientific Rep. 5, 8975 (2015).
https://doi.org/10.1038/srep08975
[34] L. Lao et al., Preparing high-fidelity magic states with low costs, in preparation.
[35] Cramming more power into a quantum device, https://www.ibm.com/blogs/research/2019/03/ power-quantum-device/, accessed: 2019-05-09.
https://www.ibm.com/blogs/research/2019/03/power-quantum-device/
[36] K. Wright, K. Beck, S. Debnath, J. Amini, Y. Nam, N. Grzesiak, J.-S. Chen, N. Pisenti, M. Chmielewski, C. Collins, et al., Benchmarking an 11-qubit quantum computer, arXiv:1903.08181 (2019).
arXiv:1903.08181
[37] The Python script and Mathematica notebook can be found on GitHub, see https://github.com/litinski/magicstates.
https://github.com/litinski/magicstates
[38] E. T. Campbell and M. Howard, Unifying gate synthesis and magic state distillation, Phys. Rev. Lett. 118, 060501 (2017b).
https://doi.org/10.1103/PhysRevLett.118.060501
[39] P. Selinger, Quantum circuits of $T$-depth one, Phys. Rev. A 87, 042302 (2013).
https://doi.org/10.1103/PhysRevA.87.042302
[40] C. Jones, Low-overhead constructions for the fault-tolerant Toffoli gate, Phys. Rev. A 87, 022328 (2013b).
https://doi.org/10.1103/PhysRevA.87.022328
[41] C. Gidney, Halving the cost of quantum addition, Quantum 2, 74 (2018).
https://doi.org/10.22331/q-2018-06-18-74
[42] B. J. Brown and S. Roberts, Universal fault-tolerant measurement-based quantum computation, arXiv:1811.11780 (2018).
arXiv:1811.11780
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[1] Dominic W. Berry, Craig Gidney, Mario Motta, Jarrod R. McClean, and Ryan Babbush, “Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization”, arXiv:1902.02134.
[2] Craig Gidney and Martin Ekerå, “How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits”, arXiv:1905.09749.
[3] Y. Herasymenko and T. E. O’Brien, “A diagrammatic approach to variational quantum ansatz construction”, arXiv:1907.08157.
[4] Ryuji Takagi and Hiroyasu Tajima, “Universal limitations on implementing resourceful unitary evolutions”, arXiv:1909.01336.
The above citations are from SAO/NASA ADS (last updated successfully 2020-01-22 18:18:12). The list may be incomplete as not all publishers provide suitable and complete citation data.
On Crossref’s cited-by service no data on citing works was found (last attempt 2020-01-22 18:18:09).
This Paper is published in Quantum under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Copyright remains with the original copyright holders such as the authors or their institutions.
Source: https://quantum-journal.org/papers/q-2019-12-02-205/