Andrew Sornborger
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View article: Efficient online quantum circuit learning with no upfront training
Efficient online quantum circuit learning with no upfront training Open
Optimization is a promising candidate for studying the utility of variational quantum algorithms (VQAs). However, evaluating cost functions using quantum hardware introduces runtime overheads that limit exploration. Surrogate-based methods…
View article: Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms
Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms Open
Quantum computing experiments have made remarkable progress in demonstrating key components of quantum error correction, a prerequisite for scalable quantum computation. While we anticipate the arrival of early fault-tolerant quantum hardw…
View article: Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
Quantum algorithms for general nonlinear dynamics based on the Carleman embedding Open
Important nonlinear dynamics, such as those found in plasma and fluid systems, are typically hard to simulate on classical computers. Thus, if fault-tolerant quantum computers could efficiently solve such nonlinear problems, it would be a …
View article: Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024
Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024 Open
The National Quantum Initiative Joint Algorithms Workshop brought together researchers across academia, national laboratories, and industry to assess the current landscape of quantum algorithms and discuss roadblocks to progress. The works…
View article: Improving the efficiency of learning-based error mitigation
Improving the efficiency of learning-based error mitigation Open
Error mitigation will play an important role in practical applications of near-term noisy quantum computers. Current error mitigation methods typically concentrate on correction quality at the expense of frugality (as measured by the numbe…
View article: Probabilistic flux limiters
Probabilistic flux limiters Open
The stable numerical integration of shocks in compressible flow simulations relies on the reduction or elimination of Gibbs phenomena (unstable, spurious oscillations). A popular method to virtually eliminate Gibbs oscillations caused by n…
View article: Foveal vision reduces neural resources in agent-based game learning
Foveal vision reduces neural resources in agent-based game learning Open
Efficient processing of information is crucial for the optimization of neural resources in both biological and artificial visual systems. In this paper, we study the efficiency that may be obtained via the use of a fovea. Using biologicall…
View article: Gate-Based Quantum Simulation of Gaussian Bosonic Circuits on Exponentially Many Modes
Gate-Based Quantum Simulation of Gaussian Bosonic Circuits on Exponentially Many Modes Open
We introduce a framework for simulating, on an (n+1)-qubit quantum computer, the action of a Gaussian bosonic (GB) circuit on a state over 2n modes. Specifically, we encode the initial bosonic state’s expectation values over quadrature ope…
View article: Variational optical phase learning on a continuous-variable quantum compiler
Variational optical phase learning on a continuous-variable quantum compiler Open
Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to quantum process learning is quantum compilation, whereby an …
View article: Efficient Online Quantum Circuit Learning with No Upfront Training
Efficient Online Quantum Circuit Learning with No Upfront Training Open
We propose a surrogate-based method for optimizing parameterized quantum circuits which is designed to operate with few calls to a quantum computer. We employ a computationally inexpensive classical surrogate to approximate the cost functi…
View article: The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts
The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts Open
How well can quantum computers simulate classical dynamical systems? There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not kn…
View article: SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry
SymBreak: Mitigating Quantum Degeneracy Issues in QLDPC Code Decoders by Breaking Symmetry Open
Quantum error correction (QEC) is critical for scalable and reliable quantum computing, but existing solutions, such as surface codes, incur significant qubit overhead. Quantum low-density parity check (qLDPC) codes have recently emerged a…
View article: CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction
CaliScalpel: In-Situ and Fine-Grained Qubit Calibration Integrated with Surface Code Quantum Error Correction Open
Quantum Error Correction (QEC) is a cornerstone of fault-tolerant, large-scale quantum computing. However, qubit error drift significantly degrades QEC performance over time, necessitating periodic calibration. Traditional calibration meth…
View article: High-fidelity dimer excitations using quantum hardware
High-fidelity dimer excitations using quantum hardware Open
The quantum simulation of entangled spin systems can play a central role in quantum magnetic materials discovery. Additionally, the simulation of spectroscopic signatures, such as the dynamical structure factor accessed in inelastic neutro…
View article: The backpropagation algorithm implemented on spiking neuromorphic hardware
The backpropagation algorithm implemented on spiking neuromorphic hardware Open
View article: scientific ML, AI, and UQ, with applications to quantum error mitigation
scientific ML, AI, and UQ, with applications to quantum error mitigation Open
View article: Large-scale simulations of Floquet physics on near-term quantum computers
Large-scale simulations of Floquet physics on near-term quantum computers Open
View article: Neuromorphic on-chip reservoir computing with spiking neural network architectures
Neuromorphic on-chip reservoir computing with spiking neural network architectures Open
Reservoir computing is a promising approach for harnessing the computational power of recurrent neural networks while dramatically simplifying training. This paper investigates the application of integrate-and-fire neurons within reservoir…
View article: Quantum Tensor-Product Decomposition from Choi-State Tomography
Quantum Tensor-Product Decomposition from Choi-State Tomography Open
The Schmidt decomposition is the go-to tool for measuring bipartite entanglement of pure quantum states. Similarly, it is possible to study the entangling features of a quantum operation using its operator-Schmidt or tensor-product decompo…
View article: Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes
Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes Open
We introduce a framework for simulating, on an $(n+1)$-qubit quantum computer, the action of a Gaussian Bosonic (GB) circuit on a state over $2^n$ modes. Specifically, we encode the initial bosonic state's expectation values over quadratur…
View article: Learning linear optical circuits with coherent states
Learning linear optical circuits with coherent states Open
We analyze the energy and training data requirements for supervised learning of an M -mode linear optical circuit by minimizing an empirical risk defined solely from the action of the circuit on coherent states. When the linear optical cir…
View article: Probabilistic Flux Limiters
Probabilistic Flux Limiters Open
The stable numerical integration of shocks in compressible flow simulations relies on the reduction or elimination of Gibbs phenomena (unstable, spurious oscillations). A popular method to virtually eliminate Gibbs oscillations caused by n…
View article: Optimal Coherent Quantum Phase Estimation via Tapering
Optimal Coherent Quantum Phase Estimation via Tapering Open
Quantum phase estimation is one of the fundamental primitives that underpins many quantum algorithms, including Shor's algorithm for efficiently factoring large numbers. Due to its significance as a subroutine, in this work, we consider th…
View article: A Search for Classical Subsystems in Quantum Worlds
A Search for Classical Subsystems in Quantum Worlds Open
Decoherence and einselection have been effective in explaining several features of an emergent classical world from an underlying quantum theory. However, the theory assumes a particular factorization of the global Hilbert space into const…
View article: Dynamical simulation via quantum machine learning with provable generalization
Dynamical simulation via quantum machine learning with provable generalization Open
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly invest…
View article: A Spiking Implementation of Backpropagation using Gated Synfire Chains
A Spiking Implementation of Backpropagation using Gated Synfire Chains Open
View article: Technical Program
Technical Program Open
View article: The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts
The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts Open
How well can quantum computers simulate classical dynamical systems? There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not kn…
View article: Mixed Quantum-Semiclassical Simulation
Mixed Quantum-Semiclassical Simulation Open
We study the quantum simulation of mixed quantum-semiclassical (MQS) systems, of fundamental interest in many areas of physics, such as molecular scattering and gravitational backreaction. A basic question for these systems is whether quan…
View article: An Interface‐Type Memristive Device for Artificial Synapse and Neuromorphic Computing
An Interface‐Type Memristive Device for Artificial Synapse and Neuromorphic Computing Open
Neuromorphic Computing In article number 2300035, Sundar Kunwar, Aiping Chen, and colleagues present an interface-type resistive switching device with excellent bio-synaptic functionalities. The proposed device exhibits high repeatability,…