ArticleScience advances2017
Robust quantum optimizer with full connectivity.
Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Observation and manipulation of quantum interference in a superconducting Kerr parametric oscillator.Nature communications · 2024Article
- Computing with oscillators from theoretical underpinnings to applications and demonstrators.Npj unconventional computing · 2024Review
- Parametrically driving a quantum oscillator into exceptionality.Scientific reports · 2023Article
- Measurement-based preparation of stable coherent states of a Kerr parametric oscillator.Scientific reports · 2023Article
- Nanomechanical Resonators: Toward Atomic Scale.ACS nano · 2022Review
- Controls of a superconducting quantum parametron under a strong pump field.Scientific reports · 2021Article
- Analog Coupled Oscillator Based Weighted Ising Machine.Scientific reports · 2019Article
- Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems.Science advances · 2019Article
- Boltzmann sampling from the Ising model using quantum heating of coupled nonlinear oscillators.Scientific reports · 2018Article
- Quantum annealing with all-to-all connected nonlinear oscillators.Nature communications · 2017Article
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Authors and funding
3 authors.
Funding
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Abstract
Quantum phenomena have the potential to speed up the solution of hard optimization problems. For example, quantum annealing, based on the quantum tunneling effect, has recently been shown to scale exponentially better with system size than classical simulated annealing. However, current realizations of quantum annealers with superconducting qubits face two major challenges. First, the connectivity between the qubits is limited, excluding many optimization problems from a direct implementation. Second, decoherence degrades the success probability of the optimization. We address both of these shortcomings and propose an architecture in which the qubits are robustly encoded in continuous variable degrees of freedom. By leveraging the phenomenon of flux quantization, all-to-all connectivity with sufficient tunability to implement many relevant optimization problems is obtained without overhead. Furthermore, we demonstrate the robustness of this architecture by simulating the optimal solution of a small instance of the nondeterministic polynomial-time hard (NP-hard) and fully connected number partitioning problem in the presence of dissipation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.