Stochastic search for approximate compilation of unitaries
Ryan Shaffer

TL;DR
STOQ is a stochastic search method for approximate quantum unitary compilation that offers a different approach from traditional techniques, with comparable runtime and potential applications in device characterization.
Contribution
This paper introduces STOQ, a novel stochastic search protocol for approximate unitary compilation, expanding the toolkit beyond product-formula methods.
Findings
STOQ produces less accurate but similarly fast compilations compared to product-formula techniques.
It can generate approximate compilations for random unitaries and shallow circuits.
STOQ's diverse paths in state space may benefit quantum device characterization.
Abstract
Compilation of unitaries into a sequence of physical quantum gates is a critical prerequisite for execution of quantum algorithms. This work introduces STOQ, a stochastic search protocol for approximate unitary compilation into a sequence of gates from an arbitrary gate alphabet. We demonstrate STOQ by comparing its performance to existing product-formula compilation techniques for time-evolution unitaries on system sizes up to eight qubits. The compilations generated by STOQ are less accurate than those from product-formula techniques, but they are similar in runtime and traverse significantly different paths in state space. We also use STOQ to generate compilations of randomly-generated unitaries, and we observe its ability to generate approximately-equivalent compilations of unitaries corresponding to shallow random circuits. Finally, we discuss the applicability of STOQ to tasks…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
