4.6 Article

Faster quantum chemistry simulation on fault-tolerant quantum computers

Journal

NEW JOURNAL OF PHYSICS
Volume 14, Issue -, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1367-2630/14/11/115023

Keywords

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Funding

  1. National Science Foundation [CCF-0829694, 1017244]
  2. University of Tokyo Special Coordination Funds for Promoting Science and Technology
  3. NICT
  4. Japan Society for the Promotion of Science (JSPS)
  5. Air Force Office of Scientific Research [FA8721-05-C-0002]
  6. Alfred P Sloan Foundation
  7. Camille and Henry Dreyfus Foundation
  8. Division of Computing and Communication Foundations
  9. Direct For Computer & Info Scie & Enginr [1017244] Funding Source: National Science Foundation

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Quantum computers can in principle simulate quantum physics exponentially faster than their classical counterparts, but some technical hurdles remain. We propose methods which substantially improve the performance of a particular form of simulation, ab initio quantum chemistry, on fault-tolerant quantum computers; these methods generalize readily to other quantum simulation problems. Quantum teleportation plays a key role in these improvements and is used extensively as a computing resource. To improve execution time, we examine techniques for constructing arbitrary gates which perform substantially faster than circuits based on the conventional Solovay-Kitaev algorithm (Dawson and Nielsen 2006 Quantum Inform. Comput. 6 81). For a given approximation error epsilon, arbitrary single-qubit gates can be produced fault-tolerantly and using a restricted set of gates in time which is O(log epsilon) or O(log log epsilon); with sufficient parallel preparation of ancillas, constant average depth is possible using a method we call programmable ancilla rotations. Moreover, we construct and analyze efficient implementations of first- and second-quantized simulation algorithms using the fault-tolerant arbitrary gates and other techniques, such as implementing various subroutines in constant time. A specific example we analyze is the ground-state energy calculation for lithium hydride.

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