Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Avoiding barren plateaus via Gaussian mixture model
Xiaoxi Shi, Y. Shang·Feb 21, 2024
Variational quantum algorithms are among the most prominent methods in quantum computing, with applications in quantum machine learning, quantum simulation, and related fields. However, as the number of qubits grows, these algorithms often encounter ...
Evaluating Ground State Energies of Chemical Systems with Low-Depth Quantum Circuits and High Accuracy
Shuo Sun, Chandan Kumar, Kevin Shen +2 more·Feb 21, 2024
Quantum computers have the potential to efficiently solve the electronic structure problem but are currently limited by noise and shallow circuits. We present an enhanced Variational Quantum Eigensolver (VQE) ansatz based on the Qubit Coupled Cluster...
Nano antenna-assisted quantum dots emission into high-index planar waveguide
Xiao Yu, J. Weeber, L. Markey +4 more·Feb 21, 2024
Integrated quantum photonic circuits require the efficient coupling of photon sources to photonic waveguides. Hybrid plasmonic/photonic platforms are a promising approach, taking advantage of both plasmon modal confinement for efficient coupling to a...
Quantum Annealing and GNN for Solving TSP with QUBO
Haoqi He·Feb 21, 2024
This paper explores the application of Quadratic Unconstrained Binary Optimization (QUBO) models in solving the Travelling Salesman Problem (TSP) through Quantum Annealing algorithms and Graph Neural Networks. Quantum Annealing (QA), a quantum-inspir...
Coherent detection of discrete variable quantum key distribution using homodyne technique
Muhammad Kamran, Tahir Malik, Ayesha Jamal +2 more·Feb 20, 2024
In discrete variable quantum key distribution (DV-QKD), the homodyne detection method is frequently employed for its simplicity in use, effectiveness in terms of error correction, and suitability with contemporary optical communication systems. Being...
Dynamics of symmetry-protected topological matter on a quantum computer
Miguel Mercado, Kyle Y. Chen, P. Darekar +3 more·Feb 20, 2024
Control of topological edge modes is desirable for encoding quantum information resiliently against external noise. Their implementation on quantum hardware, however, remains a long-standing problem due to current limitations of circuit depth and noi...
Orbital-Rotated Fermi-Hubbard Model as a Benchmarking Problem for Quantum Chemistry with the Exact Solution
Ryota Kojima, Masahiko Kamoshita, Keita Kanno·Feb 19, 2024
Quantum chemistry is a key target for quantum computing, but benchmarking quantum algorithms for large molecular systems remains challenging due to the lack of exactly solvable yet structurally realistic models. In particular, molecular Hamiltonians ...
Recent Extensions of the ZKCM Library for Parallel and Accurate MPS Simulation of Quantum Circuits
A. Saitoh·Feb 19, 2024
A C++ library ZKCM and its extension library ZKCM_QC have been developed since 2011 for multiple-precision matrix computation and accurate matrix-product-state (MPS) quantum circuit simulation, respectively. In this report, a recent progress in the e...
A joint optimization approach of parameterized quantum circuits with a tensor network
Clara Ferreira Cores, Kaur Kristjuhan, M. Jones·Feb 19, 2024
Despite the advantage quantum computers are expected to deliver when performing simulations compared to their classical counterparts, the current noisy intermediate-scale quantum (NISQ) devices remain limited in their capabilities. The training of pa...
Utilizing Resource Estimation for the Development of Quantum Computing Applications
Nils Quetschlich, Mathias Soeken, Prakash Murali +1 more·Feb 19, 2024
Quantum computing has made considerable progress in recent years in both software and hardware. But to unlock the power of quantum computers in solving problems that cannot be efficiently solved classically, quantum computing at scale is necessary. U...
Simulator Demonstration of Large Scale Variational Quantum Algorithm on HPC Cluster
Mikio Morita, Yoshinori Tomita, Junpei Koyama +1 more·Feb 19, 2024
Advances in quantum simulator technology are increasingly required because research on quantum algorithms is becoming more sophisticated and complex. State vector simulation utilizes CPU and memory resources in computing nodes exponentially with resp...
Towards Early Fault Tolerance on a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mn>2</mml:mn><mml:mo>×</mml:mo><mml:mi>N</mml:mi></mml:math> Array of Qubits Equipped with Shuttling
A. Siegel, Armands Strikis, M. Fogarty·Feb 19, 2024
It is well understood that a two-dimensional grid of locally interacting qubits is a promising platform for achieving fault-tolerant quantum computing. However in the near future, it may prove less challenging to develop lower-dimensional structures....
Fast-forwarding molecular ground state preparation with optimal control on analog quantum simulators.
D. Castaldo, Marta Rosa, S. Corni·Feb 18, 2024
We show that optimal control of the electron dynamics is able to prepare molecular ground states, within chemical accuracy, with evolution times approaching the bounds imposed by quantum mechanics. We propose a specific parameterization of the molecu...
The simulation of distributed quantum algorithms
Sreraman Muralidharan·Feb 16, 2024
Distributed quantum computing (DQC) provides a way to scale quantum computers using multiple quantum processing units (QPU) connected through quantum communication links. In this paper, we have built a distributed quantum computing simulator and used...
Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks
Thomas Lubinski, Joshua J. Goings, Karl Mayer +11 more·Feb 14, 2024
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications. Its benchmark programs sweep over a range of problem sizes and inputs, capturing ...
Bosonic Pauli+: Efficient Simulation of Concatenated Gottesman-Kitaev-Preskill Codes
Florian Hopfmueller, Maxime Tremblay, P. Jean +2 more·Feb 14, 2024
A promising route towards fault-tolerant quantum error correction is the concatenation of a Gottesman-Kitaev-Preskill (GKP) code with a qubit code. Development of such concatenated codes requires simulation tools which realistically model noise, whil...
Edge coloring lattice graphs
Joris Kattemölle·Feb 13, 2024
We develop the theory of the edge coloring of lattice graphs. A central role is played by a necessary and sufficient condition for a proper edge coloring of a patch of a lattice graph to induce a proper edge coloring of the entire lattice graph by tr...
Error correction of parity-encoding-based annealing through post-readout decoding
Yoshihiro Nambu·Feb 13, 2024
Lechner, Hauke, and Zoller proposed a parity-encoded spin-embedding scheme for quantum annealing (QA) with all-to-all connectivity to avoid the issue of limited connectivity in near-term QA hardware and to enable the implementation thereof using only...
Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems
Muqing Zheng, Yousu Chen, Xiu Yang +1 more·Feb 13, 2024
The rapid integration of renewable energy resources presents formidable challenges in managing power grids. While advanced computing and machine learning techniques offer some solutions for accelerating grid modeling and simulation, there remain comp...
Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets
P. Singkanipa, Daniel A. Lidar·Feb 13, 2024
Variational quantum algorithms (VQAs) hold much promise but face the challenge of exponentially small gradients. Unmitigated, this barren plateau (BP) phenomenon leads to an exponential training overhead for VQAs. Perhaps the most pernicious are nois...