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Quantum-assisted simulator

Kishor Bharti, Tobias Haug

2021Physical review. A/Physical review, A17 citationsDOIOpen Access PDF

Abstract

Quantum simulation can help us study poorly understood topics such as high-temperature superconductivity and drug design. However, existing quantum simulation algorithms for current quantum computers often have drawbacks that impede their application. Here, we provide a hybrid quantum-classical algorithm for simulating the dynamics of quantum systems. Our approach takes the ansatz wave function as a linear combination of quantum states. The quantum states are fixed, and the combination parameters are variationally adjusted. Unlike existing variational quantum simulation algorithms, our algorithm does not require any classical-quantum feedback loop and by construction bypasses the barren plateau problem. Moreover, our algorithm does not require any complicated measurements such as the Hadamard test. The entire framework is compatible with existing experimental capabilities and thus can be implemented immediately.

Topics & Concepts

AnsatzQuantum algorithmQuantumHamiltonian (control theory)Quantum simulatorHadamard transformComputer scienceQuantum processWave functionQuantum dynamicsStatistical physicsOpen quantum systemAlgorithmPhysicsQuantum mechanicsMathematicsMathematical optimizationQuantum Computing Algorithms and ArchitectureModel Reduction and Neural NetworksComputational Physics and Python Applications
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