Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,188
This Month
0
Today
0
Research Volume
13,354 papers in 12 months (+7% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Proposal to experimentally evaluate the adiabatic condition of quantum annealing in coupled systems of Kerr parametric oscillators
Yuichiro Mori, Harunobu Hiratsuka, Yuichiro Matsuzaki·Aug 18, 2024
Quantum annealing (QA) is an algorithm to find the ground state of the problem Hamiltonian by using an adiabatic time evolution. An approach to evaluate adiabaticity in the experiment by applying spectroscopic techniques has recently been suggested. ...
Local quantum channels giving rise to quasi-local Gibbs states
I. Arad, Raz Firanko, O. Gurevich·Aug 16, 2024
We study the steady-state properties of quantum channels with local Kraus operators. We consider a large family that consists of general ergodic 1-local (non-interacting) terms and general 2-local (interacting) terms. Physically, a repeated applicati...
Quantum random power method for ground state computation
Taehee Ko, Hyowon Park, Sangkook Choi·Aug 16, 2024
We present a quantum-classical hybrid random power method that approximates a ground state of a Hamiltonian. The quantum part of our method computes a fixed number of elements of a Hamiltonian-matrix polynomial via quantum polynomial filtering techni...
From Entanglement Purification Scheduling to Fidelity-constrained Multi-Flow Routing
Ziyue Jia, Lin Chen·Aug 15, 2024
Recently emerged as a disruptive networking paradigm, quantum networks rely on the mysterious quantum entanglement to teleport qubits without physically transferring quantum particles. However, the state of quantum systems is extremely fragile due to...
Quantum Rational Transformation Using Linear Combinations of Hamiltonian Simulations
Yizhi Shen, Niel Van Buggenhout, Daan Camps +2 more·Aug 14, 2024
Rational functions are exceptionally powerful tools in scientific computing, yet their abilities to advance quantum algorithms remain largely untapped. In this paper, we introduce effective implementations of rational transformations of a target oper...
Sum-of-Squares inspired Quantum Metaheuristic for Polynomial Optimization with the Hadamard Test and Approximate Amplitude Constraints
Iria W. Wang, Robin Brown, T. Patti +3 more·Aug 14, 2024
Quantum computation shows promise for addressing numerous classically intractable problems, such as optimization tasks. Many optimization problems are NP-hard, meaning that they scale exponentially with problem size and thus cannot be addressed at sc...
Robustness of optimal quantum annealing protocols
Niklas Funcke, Julian Berberich·Aug 13, 2024
Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing (QA) protocols against coherent control errors, which are multiplicative Hamiltonian errors causing det...
Iterative quantum optimization of spin glass problems with rapidly oscillating transverse fields
Brandon A. Barton, Jacob Sagal, Sean Feeney +5 more·Aug 13, 2024
In this work, we introduce a new iterative quantum algorithm, called Iterative Symphonic Tunneling for Satisfiability problems (IST-SAT), which solves quantum spin glass optimization problems using high-frequency oscillating transverse fields. IST-SA...
Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements
Feng Zhang, Cai-Zhuang Wang, T. Iadecola +2 more·Aug 13, 2024
The adaptive variational quantum dynamics simulation (AVQDS) method performs real-time evolution of quantum states using automatically generated parameterized quantum circuits that often contain substantially fewer gates than Trotter circuits. Here w...
Contextual Subspace Auxiliary-Field Quantum Monte Carlo: Improved Bias with Reduced Quantum Resources.
Matthew Kiser, Matthias Beuerle, F. Šimkovic·Aug 12, 2024
Using trial wave functions prepared on quantum devices to reduce the bias of auxiliary-field quantum Monte Carlo (QC-AFQMC) has established itself as a promising hybrid approach to the simulation of strongly correlated many body systems. Here, we fur...
Stabilizer Entanglement Distillation and Efficient Fault-Tolerant Encoders
Yu Shi, A. Patil, Saikat Guha·Aug 12, 2024
Entanglement is essential for quantum information processing, but is limited by noise. We address this by developing high-yield entanglement distillation protocols with several advancements. (1) We extend the 2-to-1 recurrence entanglement distillati...
Dynamic Resource Allocation with Quantum Error Detection
Joshua Gao, Ji Liu, A. Gonzales +3 more·Aug 10, 2024
Quantum processing units (QPUs) are highly heterogeneous in terms of physical qubit performance. To add even more complexity, drift in quantum noise landscapes has been well-documented. This makes resource allocation a challenging problem whenever a ...
Modeling athermal phonons in novel materials using the G4CMP simulation toolkit
Israel Hernandez, Ryan Linehan, R. Khatiwada +7 more·Aug 8, 2024
Understanding phonon and charge propagation in superconducting devices plays an important role in both performing low-threshold dark matter searches and limiting correlated errors in superconducting qubits. The Geant4 Condensed Matter Physics (G4CMP)...
Quantum Machine Learning: Performance and Security Implications in Real-World Applications
Z. Luo, Tyler Stewart, M. Narasareddygari +2 more·Aug 8, 2024
Quantum computing has garnered significant attention in recent years from both academia and industry due to its potential to achieve a"quantum advantage"over classical computers. The advent of quantum computing introduces new challenges for security ...
Mostly Harmless Methods for QSP-Processing with Laurent Polynomials
S. Skelton·Aug 8, 2024
Quantum signal processing (QSP) and its extensions are increasingly popular frameworks for developing quantum algorithms. Yet QSP implementations still struggle to complete a classical pre-processing step (‘QSP-processing’) that determines the set of...
On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning
Chaorong Shen, Yuan Li, Wenkang Zhan +15 more·Aug 7, 2024
Developing tailored semiconductor heterostructures on demand represents a critical capability for addressing the escalating performance demands in electronic and optoelectronic devices. However, traditional fabrication methods remain constrained by s...
Quantum Annealing Based Power Grid Partitioning for Parallel Simulation
Carsten Hartmann, Junjie Zhang, C. Calaza +3 more·Aug 7, 2024
Graph partitioning has many applications in power systems, from decentralized state estimation to parallel simulation. Focusing on parallel simulation, optimal grid partitioning minimizes the idle time caused by different simulation times for the sub...
Principal Trotter observation error with truncated commutators
Langyu Li·Aug 7, 2024
Hamiltonian simulation is one of the most promising applications of quantum computers, and the product formula is one of the most important methods for this purpose. Previous related work has mainly focused on the worst$-$case or average$-$case scena...
Quantum simulations of chemistry in first quantization with any basis set
Timothy N Georges, Marius Bothe, Christoph Sünderhauf +3 more·Aug 6, 2024
Quantum computation of the energy of molecules and materials is one of the most promising applications of fault-tolerant quantum computers. Practical applications require development of quantum algorithms with reduced resource requirements. Previous ...
Quantum Computation of Electronic Structure with Projector Augmented-Wave Method and Plane Wave Basis Set.
Aleksei V Ivanov, Andrew Patterson, Marius Bothe +6 more·Aug 6, 2024
Quantum simulation of materials is a promising application area of quantum computers. To practically realize this promise, we must reduce quantum resources while maintaining accuracy. In electronic structure calculations on classical computers, resou...