#quantum algorithms

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36 papers match

quant-ph2026

Nearly optimal quantum circuits for Boolean oracles

Junhong Nie, Wei Zi

The paper presents nearly optimal trade‑offs among circuit size, depth, and ancilla count for quantum oracles implementing various classes of Boolean functions, providing asymptoti…

#quantum circuits#boolean oracles#circuit complexity#ancilla optimization
quant-ph2026

A Provable Oracle-Free Quantum Algorithm for Nonlinear Dynamics on Hybrid Oscillator-Qubit Processors

Kausthubh Chandramouli, Yan Li, Yuan Liu

The paper introduces an oracle‑free quantum algorithm that uses a hybrid qubit‑continuous‑variable processor to solve nonlinear ordinary differential equations by encoding the dyna…

#quantum algorithms#continuous-variable quantum computing#hybrid qubit-qumode processors#nonlinear dynamics
quant-ph2026

Exploring the use of quantum computing for facilitating spatially and temporally resolved models of a biological cell

Muralikrishnan Gopalakrishnan Meena, Dileep Kishore, Jerry M. Parks +5

The paper evaluates how quantum computing could enable multiscale whole‑cell simulations by analyzing potential speedups for atomistic, network, and spatial models and outlining al…

#whole-cell simulation#quantum algorithms#multiscale modeling#systems biology
quant-ph2026

Improved Convergence of Carleman-Embedded Quantum Algorithm for the Vlasov-Poisson System

Matthew Christensen, Tom Goffrey, Animesh Datta

The paper improves the convergence analysis of a Carleman-embedded quantum algorithm for solving the Vlasov‑Poisson equations, providing analytical and numerical bounds and examini…

#quantum algorithms#carleman embedding#vlasov-poisson system#plasma physics
hep-lat2026

Exact chiral symmetry with quantum signal processing

Henry Lamm, Alessandro Roggero, Hersh Singh +1

The paper presents a quantum signal processing algorithm that implements the overlap fermion Hamiltonian with controllable error, enabling near‑exact chiral symmetry in quantum sim…

#quantum algorithms#lattice gauge theory#chiral symmetry#overlap fermions
quant-ph2026

Calibrated Pressure-Observable Born and Hessian Actions for Quantum-Assisted Waveform Inversion

Guanyu Li, Jiwei Jia, Yu Wang +1

The paper proposes a quantum‑assisted framework for acoustic full‑waveform inversion that builds a pressure‑consistent operator and readout scheme to compute Born, adjoint, and Gau…

#full-waveform inversion#quantum algorithms#born approximation#adjoint method
quant-ph2026

Sharp Bounds on Ground State Energy of the SYK Model

Arpon Basu, Pravesh K. Kothari, Siddhant Midha

The paper derives precise asymptotic bounds for the operator norm (ground state energy) of the SYK Hamiltonian with k-body interactions, confirming earlier predictions and showing…

#syk model#ground state energy#operator norm#random matrix theory
quant-ph2026

Training Quantum Dragons

Muhammad Yusf, Bhola Devkota, Mark A. Novotny +1

The paper presents a quantum computing implementation of the Non-Equilibrium Green's Function method to calculate transmission in quantum‑dragon nanodevices using HHL and variation…

#quantum algorithms#nano-scale electron transport#tight-binding model#quantum simulation
cs.LG2026

Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise

Bin Luo, Chengchang Liu, Jonathan Allcock +2

The paper proposes quantum mean estimators for heavy‑tailed random variables and uses them to design quantum stochastic gradient descent methods that achieve lower query complexity…

#quantum algorithms#stochastic optimization#heavy-tailed noise#gradient descent
quant-ph2026

Optimal Quantum Eigenvalue Transformation via Linear Combinations of Hermitian Matrices

Yanqiao Wang, Yixuan Liang, Hongjia Chen +1

The paper presents two complementary linear-combination-of-Hermitian-matrices (LCHM) frameworks for implementing general eigenvalue transformations of non‑normal matrices on quantu…

#quantum algorithms#eigenvalue transformation#linear combination of Hermitian matrices#polynomial approximation
quant-ph2026

CVaR-Assisted Custom Penalty Function for Constrained Optimization

Xin Wei Lee, Hoong Chuin Lau

The paper introduces a slack‑free, nonlinear penalty function for constrained binary optimization and combines it with a CVaR‑based objective to improve the performance of quantum…

#constrained optimization#qubo formulation#custom penalty function#cvar objective
physics.flu-dyn2026

Compressible Navier-Stokes Flow in Schrödinger-Type Variables

James R. Beattie, Max Sokolova, Khush Negandhi +1

The paper derives an exact reformulation of the isothermal compressible Navier‑Stokes equations using Schrödinger‑type amplitude variables, providing coupled imaginary‑time Schrödi…

#compressible flow#navier-stokes equations#schrödinger-type reformulation#cole‑hopf transformation
quant-ph2026

Designing quantum technologies with a quantum computer

Juan Naranjo, Thi Ha Kyaw, Gaurav Saxena +2

The paper presents a quantum‑computer‑aided framework for simulating solid‑state spin systems, using advanced qudit‑to‑qubit mappings and a selected quantum Krylov fast‑forwarding…

#solid-state spin systems#quantum simulation#nitrogen vacancy center#quantum algorithms
quant-ph2026

Worst-Case Quantum Algorithm for Optimal Polynomial Intersection Beyond Decoded Quantum Interferometry

Shuji Horinaga, Takashi Yamakawa

The paper presents a quantum algorithm that solves the Optimal Polynomial Intersection problem in the worst case for parameter regimes beyond those achievable by decoded quantum in…

#optimal polynomial intersection#quantum algorithms#worst-case analysis#finite fields
quant-ph2026

Quantum algorithms for exponential sums and the evaluation of the Riemann zeta function

Sandeep Tyagi

The paper presents quantum algorithms that estimate large weighted exponential sums and applies them to compute the Riemann zeta function in the critical strip with sub‑quadratic g…

#quantum algorithms#exponential sums#riemann zeta function#amplitude estimation
math.NA2026

QAFE: Quantum accelerated multiscale finite element analysis

Yiren Wang, Michael Ortiz, Fehmi Cirak

The paper proposes a quantum‑classical framework (QAFE²) that uses quantum parallelism to solve many microscopic finite element problems simultaneously, achieving polylogarithmic s…

#multiscale finite element#quantum computing#homogenization#quantum algorithms
quant-ph2026

The potential of quantum computers for Particle Image Velocimetry

Philipp Pfeffer, Theo Käufer, Julia Ingelmann +2

The paper introduces a quantum algorithm that uses multidimensional quantum Fourier transforms to accelerate Particle Image Velocimetry calculations, detailing state preparation, a…

#particle image velocimetry#quantum algorithms#quantum fourier transform#fluid dynamics
quant-ph2026

Efficient quantum algorithm for Heisenberg spin systems

Sergey Bravyi, David Gosset, Yinchen Liu +1

The paper proves a lower bound on the spectral gap of a broad class of Heisenberg spin Hamiltonians and uses this to design an efficient quantum adiabatic algorithm for estimating…

#quantum algorithms#heisenberg model#spin systems#spectral gap
quant-ph2026

An end-to-end quantum algorithm for weakly nonlinear plasma physics with superquadratic speedup

Bjorn K. Berntson, David Jennings, Matteo Lostaglio +1

The paper presents a complete quantum algorithm for simulating a weakly nonlinear kinetic plasma model, using Carleman linearization, hierarchical block encoding, and a specialized…

#quantum algorithms#plasma physics#nonlinear dynamics#carleman linearization
quant-ph2026

Quantum Algorithm for Elliptic Curve Discrete Logarithms with Space-Efficient Point Addition

Han Luo, Ziyi Yang, Jingquan Luo +5

The paper presents a quantum algorithm for solving the elliptic curve discrete logarithm problem that uses significantly fewer logical qubits by introducing a space‑efficient rever…

#elliptic curve cryptography#discrete logarithm#quantum algorithms#space-efficient circuits
quant-ph2026

Parallel Hadamard Test

Soichiro Imamura, Synge Todo

The paper introduces a parallel Hadamard test that merges multiple Hadamard tests into a single quantum circuit, reducing the number of distinct circuit types and lowering computat…

#quantum algorithms#circuit optimization#parallelization#hadamard test
quant-ph2026

Quantum Imaginary-Time Evolution with Polynomial Resources in Evolution Time

Lei Zhang, Jizhe Lai, Xian Wu +1

The paper proposes a quantum algorithm that efficiently prepares imaginary-time evolved states with polynomial resources in evolution time, using an adaptive normalization factor t…

#imaginary-time evolution#quantum algorithms#ground state preparation#fault-tolerant quantum computing
quant-ph2026

An HHL-Based Quantum-Classical Solver for the Incompressible Navier-Stokes Equations with Approximate QST

Moshe Inger, Steven Frankel

The paper integrates the Harrow‑Hassidim‑Lloyd quantum linear solver with a discretized incompressible Navier‑Stokes formulation and uses an approximate quantum state tomography me…

#quantum algorithms#navier-stokes#fluid dynamics#quantum state tomography
quant-ph2026

Quantum PDE Solvers in Practice: Application-Driven Benchmarking of the Heat Equation

Mahmoud Elkarargy, Abdelaziz Rahwan, Abdelrahman Elsayed +1

The paper introduces a reproducible benchmark for solving the 1‑D Dirichlet heat equation on quantum computers, comparing eleven different quantum PDE solver kernels across various…

#quantum algorithms#partial differential equations#benchmarking#heat equation

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