6533b7d7fe1ef96bd12685c2

RESEARCH PRODUCT

Continuous-Variable Instantaneous Quantum Computing is Hard to Sample

P. Van LoockGiulia FerriniGiulia FerriniElham KashefiElham KashefiElham KashefiDamian MarkhamDamian MarkhamTom DouceTom DouceEleni DiamantiEleni DiamantiPérola MilmanThomas Coudreau

subject

PolynomialMathematical optimizationComputer scienceFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmas010309 opticsContinuous variableHomodyne detection[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Quantum mechanics0103 physical sciencesComplexity classQuantum phase estimation algorithmStatistical physicsQuantum information010306 general physicsQuantumQuantum computerPhysicsQuantum PhysicsQuantum PhysicsSample (graphics)PostselectionProbability distributionQuantum Physics (quant-ph)

description

Instantaneous quantum computing is a sub-universal quantum complexity class, whose circuits have proven to be hard to simulate classically in the Discrete-Variable (DV) realm. We extend this proof to the Continuous-Variable (CV) domain by using squeezed states and homodyne detection, and by exploring the properties of post-selected circuits. In order to treat post-selection in CVs we consider finitely-resolved homodyne detectors, corresponding to a realistic scheme based on discrete probability distributions of the measurement outcomes. The unavoidable errors stemming from the use of finitely squeezed states are suppressed through a qubit-into-oscillator GKP encoding of quantum information, which was previously shown to enable fault-tolerant CV quantum computation. Finally, we show that, in order to render post-selected computational classes in CVs meaningful, a logarithmic scaling of the squeezing parameter with the circuit size is necessary, translating into a polynomial scaling of the input energy.

10.1103/physrevlett.118.070503http://dx.doi.org/10.1103/PhysRevLett.118.070503