Quantum Brain

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 abstractsPhotonic leads

6,231 papers found

Low-depth phase oracle using a parallel piecewise circuit

Zhu Sun, Gregory Boyd, Zhenyu Cai +7 more·Sep 6, 2024

We explore the important task of applying a phase $\exp(i\,f(x))$ to a computational basis state $\left| x \right>$. The closely related task of rotating a target qubit by an angle depending on $f(x)$ is also studied. Such operations are key in many ...

Physics

Analog quantum simulation of coupled electron-nuclear dynamics in molecules

Jong-Kwon Ha, R. MacDonell·Sep 6, 2024

Quantum computing has the potential to reduce the computational cost required for quantum dynamics simulations. However, existing quantum algorithms for coupled electron-nuclear dynamics simulation either require fault-tolerant devices, or involve th...

MedicinePhysics

Expressing and Analyzing Quantum Algorithms with Qualtran

M. Harrigan, T. Khattar, Charles Yuan +5 more·Sep 6, 2024

Quantum computing's transition from theory to reality has spurred the need for novel software tools to manage the increasing complexity, sophistication, toil, and fallibility of quantum algorithm development. We present Qualtran, an open-source libra...

Computer SciencePhysics

Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

Eleanor Crane, Kevin C. Smith, T. Tomesh +9 more·Sep 5, 2024

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of par...

Physics

Splitting and connecting singlets in atomic quantum circuits

Zijie Zhu, Yann Kiefer, Samuel Jele +4 more·Sep 4, 2024

Gate operations composed in quantum circuits form the basis for digital quantum simulation and quantum processing. While two-qubit gates generally operate on nearest neighbours, many circuits require nonlocal connectivity and necessitate some form of...

Quantum PhysicsMesoscale Physicscond-mat.quant-gascond-mat.str-el

Tomography-assisted noisy quantum circuit simulator using matrix product density operators

Wei Ma, Yun-hao Shi, Kai Xu +1 more·Sep 4, 2024

In recent years, efficient quantum circuit simulations incorporating ideal noise assumptions have relied on tensor network simulators, particularly leveraging the matrix product density operator (MPDO) framework. However, experiments on real noisy in...

Physics

Progress in Trapped-Ion Quantum Simulation

M. Foss-Feig, G. Pagano, Andrew C. Potter +1 more·Sep 4, 2024

Trapped ions offer long coherence times and high fidelity, programmable quantum operations, making them a promising platform for quantum simulation of condensed matter systems, quantum dynamics, and problems related to high-energy physics. We review ...

Physics

Learning out-of-time-ordered correlators with classical kernel methods

John Tanner, J. Pye, Jingbo B. Wang·Sep 3, 2024

Out-of-Time Ordered Correlators (OTOCs) are widely used to investigate information scrambling in quantum systems. However, directly computing OTOCs with classical computers is an expensive procedure. This is due to the need to classically simulate th...

Computer SciencePhysics

Estimating the coherence of noise in mid-scale quantum systems

Pedro Figueroa–Romero, M. Papivc, Adrian Auer +1 more·Sep 3, 2024

While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much faster. In particular, quantifying whether the instructions on a quantum ...

Physics

HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping

Yuhao Liu, Kevin Yao, Jonathan Hong +5 more·Sep 3, 2024

This paper introduces the Hamiltonian-Adaptive Ternary Tree (HATT) framework to compile optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of Fermionic quantum systems, efficient Fermion-toqubit mapping plays a ...

PhysicsComputer Science

An almost-linear time decoding algorithm for quantum LDPC codes under circuit-level noise

Antonio deMarti iOlius, Imanol Martinez, Joschka Roffe +1 more·Sep 2, 2024

Fault-tolerant quantum computers must be designed in conjunction with classical co-processors that decode quantum error correction measurement information in real-time. In this work, we introduce the belief propagation plus ordered Tanner forest (BP+...

Physics

Variational quantum simulation of ground states and thermal states for lattice gauge theory with multi-objective optimization

Lang Cheng, Dan-Bo Zhang·Aug 30, 2024

Variational quantum algorithms provide feasible approaches for simulating quantum systems and are applied widely. For lattice gauge theory, however, variational quantum simulation faces a challenge as local gauge invariance enforces a constraint on t...

Physics

Block encoding bosons by signal processing

Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi +2 more·Aug 29, 2024

Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). Currently, the primary methods for...

PhysicsComputer Science

Comparing quantum and classical Monte Carlo algorithms for estimating Betti numbers of clique complexes

I. Akhalwaya, Ahmed Bhayat, Adam Connolly +4 more·Aug 29, 2024

Several quantum and classical Monte Carlo algorithms for Betti Number Estimation (BNE) on clique complexes have recently been proposed, though it is unclear how their performances compare. We review these algorithms, emphasising their common Monte Ca...

Computer SciencePhysics

Engineering squeezed thermal reservoirs via passive linear coupling

Cheng-Lin Lee, Chiao-Hsuan Wang·Aug 28, 2024

Squeezed thermal reservoirs, characterized by thermal noise with anisotropic fluctuations, have profound implications in quantum thermodynamics and serve as powerful resources for quantum information. However, their experimental realizations remain c...

Quantum Physics

Statistical modeling of quantum error propagation

Z. Ye·Aug 28, 2024

In this paper, I design a new statistical abstract model for studying quantum error propagation. For each circuit, I give the algorithm to construct the Error propagation space-time graph(\textbf{EPSTG}) graph as well as the bipartite reverse spannin...

Physics

Small graph perturbations, QAOA, and the MaxCut problem

Leonardo Lavagna, Simone Piperno, Andrea Ceschini +1 more·Aug 27, 2024

We investigate the Maximum Cut (MaxCut) problem on different graph classes with the quantum approximate optimization algorithm (QAOA) using symmetries. In particular, heuristics on the relationship between graph symmetries and the approximation ratio...

Physics

Comprehensive explanation of ZZ coupling in superconducting qubits

Simon Pettersson Fors, Jorge Fern'andez-Pend'as, A. F. Kockum·Aug 27, 2024

A major challenge for scaling up superconducting quantum computers is unwanted couplings between qubits, which lead to always-on ZZ couplings that impact gate fidelities by shifting energy levels conditional on qubit states. To tackle this challenge,...

Physics

Practical Quantum Advantage on Partially Fault-Tolerant Quantum Computer

Riki Toshio, Yutaro Akahoshi, J. Fujisaki +3 more·Aug 27, 2024

Achieving quantum speedups in practical tasks remains challenging for current noisy intermediate-scale quantum (NISQ) devices. These devices always encounter significant obstacles such as inevitable physical errors and the limited scalability of curr...

Physics

Circumventing traps in analog quantum machine learning algorithms through co-design

Rodrigo Araiza Bravo, Jorge Garcia Ponce, Hong-Ye Hu +1 more·Aug 26, 2024

Quantum machine learning algorithms promise to deliver near-term, applicable quantum computation on noisy, intermediate-scale systems. While most of these algorithms leverage quantum circuits for generic applications, a recent set of proposals, calle...

Physics
Quantum Intelligence

Ask about quantum research, companies, or market developments.