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Stochastic Error Cancellation in Analog Quantum Simulation
Yiyi Cai, Yu Tong, John Preskill
Analog quantum simulation is a promising path towards solving classically intractable problems in many-body physics on near-term quantum devices. However, the presence of noise lim…
Local minima in quantum systems
Chi-Fang Chen, Hsin-Yuan Huang, John Preskill +1
Finding ground states of quantum many-body systems is known to be hard for both classical and quantum computers. As a result, when Nature cools a quantum system in a low-temperatur…
Enhanced estimation of quantum properties with common randomized measurements
Benoît Vermersch, Aniket Rath, Bharathan Sundar +3
We present a technique for enhancing the estimation of quantum state properties by incorporating approximate prior knowledge about the quantum state of interest. This method involv…
Hierarchical memories: Simulating quantum LDPC codes with local gates
Christopher A. Pattison, Anirudh Krishna, John Preskill
Constant-rate low-density parity-check (LDPC) codes are promising candidates for constructing efficient fault-tolerant quantum memories. However, if physical gates are subject to g…
Improved machine learning algorithm for predicting ground state properties
Laura Lewis, Hsin-Yuan Huang, Viet T. Tran +3
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting…