213 citations · 339 across the 30 of their papers we have counts for
32 papers
Quantum-Fisher-information-aware optimization yields a quantum reservoir advantage over tuned classical reservoirs
Phi Hung Nguyen, Daniel Soh
We show that a quantum reservoir computer optimized with its quantum Fisher information (QFI) has a quantum advantage over a classical reservoir of equal readout cost, provided by…
Operator-language Feynman rules for driven-dissipative quantum systems: from mean field to non-Gaussian photon correlations
Peter Ehlers, Phi Hung Nguyen, Daniel Soh
We construct Feynman rules for Lindblad master equations in the operator language of quantum optics: a fixed algebra of elementary operator moves and closed-form propagators for pe…
A charge selection rule fixes what a squeezed-light reservoir computer can compute and afford
Daniel Soh
Reading an optical quantum reservoir costs repetitions growing super-exponentially with feature order: what it can afford is set by its detector, not its optics. For reservoirs enc…
A Single Atom in Front of a Mirror is a Universal Reservoir Computer
Peter J. Ehlers, Phi Hung Nguyen, Kanu Sinha +4
Universal approximation in reservoir computing is typically associated with a class of reservoirs. We show that universality can be associated with a single reservoir, considering…
Computational Superiority of Non-Markovian Kerr Feedback in Continuous-Variable Quantum Reservoir Computing
Daniel Soh
A linear optical medium can delay, mix, and superpose light, but never make two pulses multiply: multiplication is nonlinear, and a linear system has no such operation. This roots…
Quantum optical neural networks using atom-cavity interactions to provide all-optical nonlinearity
Chuanzhou Zhu, Tianyu Wang, Peter L. McMahon +1
Optical neural networks (ONNs) have been developed to enhance processing speed and energy efficiency in machine learning by leveraging optical devices for nonlinear activation and…
Quantum-Limited Acoustoelectric Amplification in a Piezoelectric-2DEG Heterostructure
Eric Chatterjee, Daniel Soh, Matt Eichenfield
We provide a quantum mechanical description of phonon amplification in a heterostructure consisting of a two-dimensional electron gas (2DEG) stacked on top of a piezoelectric mater…
Optical Echo State Network Reservoir Computing
Ishwar S Kaushik, Peter J Ehlers, Daniel Soh
We propose an innovative design for an optical Echo State Network (ESN), an advanced type of reservoir computer known for its universal computational capabilities. Our design enabl…
Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) leverages quantum systems to perform complex computational tasks with exceptional efficiency and reduced energy consumption. We introduce a minima…
Optical Gottesman-Kitaev-Preskill qubit generation via approximate squeezed coherent state superposition breeding
Andrew J. Pizzimenti, Daniel Soh
Gottesman-Kitaev-Preskill (GKP) qubits, known for their exceptional error-correction capabilities, are highly coveted in quantum computing. However, generating optical GKP qubits h…
Stochastic Reservoir Computers
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural netw…
Practical Few-Atom Quantum Reservoir Computing
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) harnesses quantum systems to tackle intricate computational problems with exceptional efficiency and minimized energy usage. This paper presents a…
Error analysis in large area multi-Raman pulse atom interferometry due to undesired spontaneous decay
Philip Chrostoski, Scott Bisson, David Farley +2
Despite the fact that atom interferometry has been a successful application of quantum sensing, a major topic of interest is the further improvement of the sensitivity of these dev…
Ab-Initio Calculations of Nonlinear Susceptibility and Multi-Phonon Mixing Processes in a 2DEG-Piezoelectric Heterostructure
Eric Chatterjee, Alexander Wendt, Daniel Soh +1
Solid-state elastic-wave phonons are a promising platform for a wide range of quantum information applications. An outstanding challenge and enabling capability in harnessing phono…
Improving the Performance of Echo State Networks Through State Feedback
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing, using nonlinear dynamical systems, offers a cost-effective alternative to neural networks for complex tasks involving processing of sequential data, time serie…
Fundamental limits to the generation of highly displaced bright squeezed light using linear optics and parametric amplifiers
Steve M. Young, Daniel Soh
High quality squeezed light is an important resource for a variety of applications. Multiple methods for generating squeezed light are known, having been demonstrated theoretically…
Label-free quantum super-resolution imaging using entangled multi-mode squeezed light
Daniel Soh, Eric Chatterjee
In this study, we explore the theoretical application of entangled multi-mode squeezed light for label-free optical super-resolution imaging. By generating massively entangled mult…
Ultra-High-Precision Detection of Single Microwave Photons based on a Hybrid System between Majorana Zero Mode and a Quantum Dot
Eric Chatterjee, Wei Pan, Daniel Soh
The ability to detect single photons has become increasingly essential due to the rise of photon-based quantum computing. In this theoretical work, we propose a system consisting o…
Leggett Modes in Dirac Semimetals
Joseph J. Cuozzo, Wenlong Yu, Paul Davids +4
In recent years experimentalists have been able to clearly show that several materials, such as MgB2, iron-based superconductors3, monolayer NbSe2, are multiband superconductors. S…
Reconfigurable quantum phononic circuits via piezo-acoustomechanical interactions
Jeffrey C. Taylor, Eric Chatterjee, William F. Kindel +2
We show that piezoelectric strain actuation of acoustomechanical interactions can produce large phase velocity changes in an existing quantum phononic platform: aluminum nitride on…
Microwave response in a topological superconducting quantum interference device
Wei Pan, Daniel Soh, Wenlong Yu +2
Photon detection at microwave frequency is of great interest due to its application in quantum computation information science and technology. Herein are results from studying micr…
Optimal Quantum Transfer from Input Flying Qubit to Lossy Quantum Memory
Eric Chatterjee, Daniel Soh, Matt Eichenfield
In a quantum network, a key challenge is to minimize the direct reflection of flying qubits as they couple to stationary, resonator-based memory qubits, as the reflected amplitude…
Microwave Photon Number Resolving Detector Using the Topological Surface State of Superconducting Cadmium Arsenide
Eric Chatterjee, Wei Pan, Daniel Soh
Photon number resolving detectors play a central role in quantum optics. A key challenge in resolving the number of absorbed photons in the microwave frequency range is finding a s…
High-fidelity State Transfer Between Leaky Quantum Memories
Daniel Soh, Eric Chatterjee, Matt Eichenfield
We derive the optimal analytical quantum-state-transfer control solutions for two disparate quantum memory blocks. Employing the SLH formalism description of quantum network theory…