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Distributed Quantum Computing: a Survey

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arxiv 2212.10609 v1 pith:CMIWG53S submitted 2022-12-20 quant-ph cs.NI

classification quant-phcs.NI
keywords quantumcomputingdistributedavailablecomputationalengineeringexceedingprocessors
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Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundred of noisy qubits available. Yet -- to fully unveil the potential of quantum computing out of the labs and into business reality -- the challenge ahead is to substantially scale the qubit number, reaching orders of magnitude exceeding the thousands (if not millions) of noise-free qubits. To this aim, there exists a broad consensus among both academic and industry communities about considering the distributed computing paradigm as the key solution for achieving such a scaling, by envision multiple moderate-to-small-scale quantum processors communicating and cooperating to execute computational tasks exceeding the computational resources available within a single processing device. The aim of this survey is to provide the reader with an overview about the main challenges and open problems arising with distributed quantum computing, and with an easy access and guide towards the relevant literature and the prominent results from a computer/communications engineering perspective.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Framework for Quantum Data Center Emulation Using Digital Quantum Computers

    quant-ph 2025-09 unverdicted novelty 7.0 of 10

    Partitioning a single quantum processor into logical QPUs with collisional-model noise emulates a quantum data center on real hardware.

  2. Fat-Tree QRAM: A High-Bandwidth Shared Quantum Random Access Memory for Parallel Queries

    quant-ph 2025-02 conditional novelty 7.0 of 10

    Fat-Tree QRAM pipelines up to log(N) simultaneous queries to a size-N memory in about log(N) time, using only about twice the hardware of a bucket-brigade QRAM.

  3. CFT Complexity and Penalty Factors

    hep-th 2025-07 conditional novelty 6.0 of 10

    A submersion-based method turns weighted generator costs into state-complexity metrics for CFTs, giving analytic formulas in simple limits and constraints on which weight choices are viable.

  4. Toward Autonomous Digital Populations for Communication-Sensing-Computation Ecosystem

    cs.NI 2025-08 unverdicted novelty 3.0 of 10

    Proposes a digital-twin-based architectural vision in which edge devices form evolvable digital populations integrated into an autonomous communication-sensing-computation ecosystem.

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