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Live trends in quantum computing research, updated daily from arXiv.
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Bayesian Optimization Priors for Efficient Variational Quantum Algorithms
Farshud Sorourifar, Diana Chamaki, N. Tubman +2 more·Jun 20, 2024
Quantum computers currently rely on a hybrid quantum-classical approach known as Variational Quantum Algorithms (VQAs) to solve problems. Still, there are several challenges with VQAs on the classical computing side: it corresponds to a black-box opt...
A Survey of Methods for Mitigating Barren Plateaus for Parameterized Quantum Circuits
Michelle Gelman·Jun 20, 2024
Barren Plateaus are a formidable challenge for hybrid quantum-classical algorithms that lead to flat plateaus in the loss function landscape making it difficult to take advantage of the expressive power of parameterized quantum circuits with gradient...
Beyond QUBO and HOBO formulations, solving the Travelling Salesman Problem on a quantum boson sampler
Daniel Charles Goldsmith, Joe Day-Evans·Jun 20, 2024
The Travelling Salesman Problem (TSP) is an important combinatorial optimisation problem, and is usually solved on a quantum computer using a Quadratic Unconstrained Binary Optimisation (QUBO) formulation or a Higher Order Binary Optimisation(HOBO) f...
QuIP: A P4 Quantum Internet Protocol Prototyping Framework
W. Kozlowski, Fernando A. Kuipers, Rob Smets +1 more·Jun 20, 2024
Quantum entanglement is so fundamentally different from a network packet that several quantum network stacks have been proposed; one of which has even been experimentally demonstrated. Several simulators have also been developed to make up for limite...
Variational-Cartan Quantum Dynamics Simulations of Excitation Dynamics
L. Wan, Jie Liu, Zhenyu Li +1 more·Jun 20, 2024
Quantum dynamics simulations (QDSs) are one of the most highly anticipated applications of quantum computing. Quantum circuit depth for implementing Hamiltonian simulation algorithms is commonly time dependent so that long time dynamics simulations b...
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yanjun Wang +2 more·Jun 20, 2024
The state vector-based simulation offers a convenient approach to developing and validating quantum algorithms with noise-free results. However, limited by the absence of cache-aware implementations and unpolished circuit optimizations, the past simu...
High-threshold, low-overhead and single-shot decodable fault-tolerant quantum memory
Thomas R. Scruby, Timo Hillmann, Joschka Roffe·Jun 20, 2024
We present a new family of quantum low-density parity-check codes, which we call radial codes, obtained from the lifted product of a specific subset of classical quasi-cyclic codes. The codes are defined using a pair of integers $(r,s)$ and have para...
Gate Teleportation in Noisy Quantum Networks with the SquidASM Simulator
Valter Uotila·Jun 19, 2024
We implement the gate teleportation algorithm for teleporting arbitrary two-qubit Clifford gates and the Toffoli gate within the context of multi-node quantum networks, utilizing the SquidASM quantum network simulator. We show how a gate teleportatio...
Simulating nonlinear optical processes on a superconducting quantum device
Yuan Shi, B. Evert, Amy F. Brown +8 more·Jun 18, 2024
Simulating plasma physics on quantum computers is difficult because most problems of interest are nonlinear, but quantum computers are not naturally suitable for nonlinear operations. In weakly nonlinear regimes, plasma problems can be modelled as wa...
Simulating spin biology using a digital quantum computer: Prospects on a near-term quantum hardware emulator
Pedro Alvarez, Farhan Tanvir Chowdhury, Luke D. Smith +4 more·Jun 18, 2024
Understanding the intricate quantum spin dynamics of radical pair reactions is crucial for unraveling the underlying nature of chemical processes across diverse scientific domains. In this work, we leverage Trotterization to map coherent radical pair...
Cluster-projected matrix product state: Framework for engineering exact quantum many-body ground states in one and two dimensions
H. Saito, Chisa Hotta·Jun 18, 2024
We propose a framework to design concurrently a frustration-free quantum many-body Hamiltonian and its numerically exact ground states on a sufficiently large finite-size cluster in one and two dimensions using an elementary matrix product state (MPS...
New Reservoir Computing Kernel Based on Chaotic Chua Circuit and Investigating Application to Post-Quantum Cryptography
Matthew John Cossins, Sendy Phang·Jun 18, 2024
The aim of this project was to develop a new Reservoir Computer implementation, based on a chaotic Chua circuit. In addition to suitable classification and regression benchmarks, the Reservoir Computer was applied to Post-Quantum Cryptography, with i...
Quantum Algorithm for a Stochastic Multicloud Model
K. Ueno, Hiroaki Miura·Jun 17, 2024
Quantum computers have attracted much attention in recent years. This is because the development of the actual quantum machine is accelerating. Research on how to use quantum computers is active in the fields such as quantum chemistry and machine lea...
Circuit-Efficient Qubit-Excitation-based Variational Quantum Eigensolver
Zhijie Sun, Jie Liu, Zhenyu Li +1 more·Jun 17, 2024
The wave function Ansatze are crucial in the context of the Variational Quantum Eigensolver (VQE). In the Noisy Intermediate-Scale Quantum era, the design of low-depth wave function Ansatze is of great importance for executing quantum simulations of ...
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He-Yu Lin, Yibin Guo, Rong-Qiang He +2 more·Jun 17, 2024
The tensor network algorithm, a family of prevalent numerical methods for quantum many-body problems, aptly captures the entanglement properties intrinsic to quantum systems, enabling precise representation of quantum states. However, its computation...
Minimal state-preparation times for silicon spin qubits
Christopher K. Long, N. Mayhall, S. Economou +5 more·Jun 16, 2024
Efficient preparation of quantum states on noisy intermediate-scale quantum processors remains a significant challenge to achieve quantum advantage. While gate-based methods have been the traditional approach, pulse-based algorithms offer promising a...
Impact of measurement noise on escaping saddles in variational quantum algorithms
Eriko Kaminishi, Takashi Mori, M. Sugawara +1 more·Jun 14, 2024
Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE). In VQE implementations on quantum hardware, measurement shot noise is inevitable. We analyze how th...
High-entanglement capabilities for variational quantum algorithms: the Poisson equation case
F. Ayoub, J. Baeder·Jun 14, 2024
The discretized Poisson equation matrix (DPEM) in 1D has been shown to require an exponentially large number of terms when decomposed in the Pauli basis when solving numerical linear algebra problems on a quantum computer. Additionally, traditional a...
SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search
Yize Sun, Jiarui Liu, Zixin Wu +2 more·Jun 13, 2024
We introduce SA-DQAS, a novel framework that enhances Differentiable Quantum Architecture Search (DQAS) by integrating a self-attention mechanism, enabling more effective quantum circuit design for variational quantum algorithms. Unlike DQAS, which t...
Variational quantum Hamiltonian engineering
Benchi Zhao, Keisuke Fujii·Jun 13, 2024
Estimating the expectation value of a Hamiltonian and performing a Hamiltonian simulation are two fundamental tasks in quantum computation, with their efficiency heavily dependent on the Pauli norm of the Hamiltonian, which sums the absolute values o...