747 citations · 1.9k across the 25 of their papers we have counts for
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Large-scale quantum reservoir computing using a Gaussian Boson Sampler
Valeria Cimini, Mandar M. Sohoni, Federico Presutti +7
A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at large scale in optics. Here we report on experiments in which we used a fre…
Tunable spectral correlations of highly multimode visible light via broadband quantum frequency conversion
Federico Presutti, Logan G. Wright, Shi-Yuan Ma +4
Multimode squeezed states of light are a resource for achieving quantum advantage in computing and sensing, where spatial or temporal modes have been the experimental norm. In our…
Microwave signal processing using an analog quantum reservoir computer
Alen Senanian, Sridhar Prabhu, Vladimir Kremenetski +8
Quantum reservoir computing (QRC) has been proposed as a paradigm for performing machine learning with quantum processors where the training is efficient in the number of required…
Mesoscopic ultrafast nonlinear optics -- The emergence of multimode quantum non-Gaussian physics
Ryotatsu Yanagimoto, Edwin Ng, Marc Jankowski +8
Over the last few decades, nonlinear optics has become significantly more nonlinear, traversing nearly a billionfold improvement in energy efficiency, with ultrafast nonlinear nano…
Using system-reservoir methods to derive effective field theories for broadband nonlinear quantum optics: a case study on cascaded quadratic nonlinearities
Chris Gustin, Ryotatsu Yanagimoto, Edwin Ng +2
In broadband quantum optical systems, nonlinear interactions among a large number of frequency components induce complex dynamics that may defy heuristic analysis. In this work we…
Onset of non-Gaussian quantum physics in pulsed squeezing with mesoscopic fields
Ryotatsu Yanagimoto, Edwin Ng, Atsushi Yamamura +6
We study the emergence of non-Gaussian quantum features in pulsed squeezed light generation with a mesoscopic number (i.e., dozens to hundreds) of pump photons. Due to the strong o…
A Benchmarking Study of Quantum Algorithms for Combinatorial Optimization
Krishanu Sankar, Artur Scherer, Satoshi Kako +8
We study the performance scaling of three quantum algorithms for combinatorial optimization: measurement-feedback coherent Ising machines (MFB-CIM), discrete adiabatic quantum comp…
Efficient sampling of ground and low-energy Ising spin configurations with a coherent Ising machine
Edwin Ng, Tatsuhiro Onodera, Satoshi Kako +3
We show that the nonlinear stochastic dynamics of a measurement-feedback-based coherent Ising machine (MFB-CIM) in the presence of quantum noise can be exploited to sample degenera…
Towards an Engineering Framework for Ultrafast Quantum Nonlinear Optics
Ryotatsu Yanagimoto, Edwin Ng, Tatsuhiro Onodera +1
The advent of dispersion-engineered and highly nonlinear nanophotonics is expected to open up an all-optical path towards the strong-interaction regime of quantum optics by combini…
Efficient simulation of ultrafast quantum nonlinear optics with matrix product states
Ryotatsu Yanagimoto, Edwin Ng, Logan G. Wright +2
Ultra-short pulses propagating in nonlinear nanophotonic waveguides can simultaneously leverage both temporal and spatial field confinement, promising a route towards single-photon…
Broadband Parametric Downconversion as a Discrete-Continuum Fano Interaction
Ryotatsu Yanagimoto, Edwin Ng, Marc P. Jankowski +3
We introduce a theoretical framework based on Fano's theory of discrete-continuum interactions to analyze the quantum dynamics of broadband parametric downconversion (PDC) in the f…
Engineering a Kerr-based Deterministic Cubic Phase Gate via Gaussian Operations
Ryotatsu Yanagimoto, Tatsuhiro Onodera, Edwin Ng +3
We propose a deterministic, measurement-free implementation of a cubic phase gate for continuous-variable quantum information processing. In our scheme, the applications of displac…
A quantum annealer with fully programmable all-to-all coupling via Floquet engineering
Tatsuhiro Onodera, Edwin Ng, Peter L. McMahon
Quantum annealing is a promising approach to heuristically solving difficult combinatorial optimization problems. However, the connectivity limitations in current devices lead to a…
Embedding entanglement generation within a measurement-feedback coherent Ising machine
Ryotatsu Yanagimoto, Peter L. McMahon, Edwin Ng +2
We present a new scheme to efficiently establish entanglement between optical modes in a time-multiplexed coherent Ising machine (CIM) by means of nonlocal measurement and feedback…
Adiabatic Fock state generation scheme using Kerr nonlinearity
Ryotatsu Yanagimoto, Edwin Ng, Tatsuhiro Onodera +1
We propose a theoretical scheme to deterministically generate Fock states in a Kerr cavity thorough adiabatic variation of the driving field strength and the cavity detuning. We sh…
Nonlinear Quantum Behavior of Ultrashort-Pulse Optical Parametric Oscillators
Tatsuhiro Onodera, Edwin Ng, Chris Gustin +6
The quantum features of ultrashort-pulse optical parametric oscillators (OPOs) are investigated theoretically in the nonlinear regime near and above threshold. Viewing the pulsed O…
Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer
Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon +20
Physical annealing systems provide heuristic approaches to solving NP-hard Ising optimization problems. Here, we study the performance of two types of annealing machines--a commerc…