Combining Matrix Product States and Noisy Quantum Computers for Quantum Simulation
Baptiste Anselme Martin, Thomas Ayral, Fran\c{c}ois Jamet, Marko J. Ran\v{c}i\'c, Pascal Simon

TL;DR
This paper presents a hybrid classical-quantum approach combining Matrix Product States and noisy quantum computers to simulate quantum many-body dynamics more efficiently, demonstrating practical advantages and experimental validation.
Contribution
It introduces a novel hybrid scheme that leverages tensor networks and quantum circuits to extend simulation capabilities beyond traditional methods.
Findings
Hybrid classical-quantum scheme improves simulation fidelity.
Experimental demonstration on a 10-qubit system over extended time.
Reduces noise requirements for practical quantum advantage.
Abstract
Matrix Product States (MPS) and Operators (MPO) have been proven to be a powerful tool to study quantum many-body systems but are restricted to moderately entangled states as the number of parameters scales exponentially with the entanglement entropy. While MPS can efficiently find ground states of 1D systems, their capacities are limited when simulating their dynamics, where the entanglement can increase ballistically with time. On the other hand, quantum devices appear as a natural platform to encode and perform the time evolution of correlated many-body states. However, accessing the regime of long-time dynamics is hampered by quantum noise. In this study we use the best of worlds: the short-time dynamics is efficiently performed by MPSs, compiled into short-depth quantum circuits, and is performed further in time on a quantum computer thanks to efficient MPO-optimized quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Quantum and electron transport phenomena
