Abstract
Interconnecting small quantum computers will be essential in the future for creating large scale, robust quantum computers. Methods for distributing monolithic quantum algorithms efficiently are thus needed. In this work we consider an approach for distributing the accelerated variational quantum eigensolver (AVQE) algorithm over arbitrary sized - in terms of number of qubits - distributed quantum computers. We consider approaches for distributing qubit assignments of the Ansatz states required to estimate the expectation value of Hamiltonian operators in quantum chemistry in a parallelized computation and provide a systematic approach to generate distributed quantum circuits for distributed quantum computing. Moreover, we propose an architecture for a distributed quantum control system in the settings of centralized and decentralized network control.
Highlights
To execute large-scale quantum algorithms on a quantum computer will require many physical qubits
We explore how one can design a distributed operating system (OS), where the distributed part we focus on is a cluster of quantum computers
DISTRIBUTING ACCELERATED variational quantum eigensolver (VQE) A problem to overcome when dealing with near-term quantum computing devices is that the ability to run deep circuits is greatly reduced due to low coherence time of qubit systems without error correction
Summary
To execute large-scale quantum algorithms on a quantum computer will require many physical qubits. One path to creating quantum computers with many qubits is to construct a network of smaller-scale quantum computers and perform distributed computing amongst them. Α-VQE uses a more efficient method for estimating the expectation value with respect to an Ansatz of a Hamiltonian than standard VQE, which is a quantum algorithm called accelerated quantum phase estimation or α-QPE. DiAdamo et al.: DISTRIBUTED QUANTUM COMPUTING AND NETWORK CONTROL FOR ACCELERATED VQE the circuits needed to perform the initialization. We consider a system that, given the input of the number of qubits in a distributed collection of QPUs and circuitry needed to run VQE, we can map the system to a distributed system such that the Hamiltonian expectation estimation phase is parallelized and distributed. B. RELATED WORK The basis of this article is in distributing quantum algorithms the accelerated variational quantum eigensolver [6] and controlling networked quantum hardware. Control systems for quantum computing have been proposed in [10] and [11], but these do not discuss the control between networked quantum computers
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