Recursive Path-Summing Simulation of Quantum Computation
Andrew Shi

TL;DR
This paper introduces a linear-space recursive path-summing simulation method for quantum computation, demonstrating its efficiency in simulating complex quantum algorithms and challenging the traditional 50-qubit quantum supremacy threshold.
Contribution
The paper presents a novel recursive path-summing algorithm that uses linear space, enabling efficient simulation of certain quantum algorithms like HSP, offering an alternative to state vector methods.
Findings
Successfully simulated the hidden subgroup method with low memory
Demonstrated the method's efficiency on circuits including Shor's algorithm
Suggests quantum supremacy thresholds may need reevaluation using this method
Abstract
Classical simulation of quantum computation has often been viewed as the method to determine where the horizon of quantum supremacy is located---that is, where quantum computation can no longer be simulated by classical methods. As of now, the 50 qubit threshold for quantum supremacy has been determined largely by the state vector simulation method's exponential space demands placing an upper bound on simulation memory capabilities. To investigate this claim, we present and test an implementation of a known path integral simulation algorithm running in linear space; the method is based on recursively traversing the underlying computation tree for quantum algorithms and summing over possible amplitudes. We find that the implementation is able to simulate the hidden subgroup method (HSP) standard method---a notable class of circuits including Shor's algorithm amongst others---in a…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum Information and Cryptography
