Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Exponential Scaling Barriers for Variational Quantum Eigensolvers
Manuel Hagelueken, David A. Kreplin, Florian Wieland +2 more·Mar 13, 2026
The Variational Quantum Eigensolver (VQE) is widely regarded as a promising algorithm for calculating ground states of quantum systems that are intractable for classical computers. This promise is typically motivated by the hope of mitigating the exp...
Noise mitigation of quantum observables via learning from Hamiltonian symmetry decays
Javier Oliva del Moral, Olatz Sanz Larrarte, Joana Fraxanet +2 more·Mar 13, 2026
We present a new quantum error mitigation technique (QEM), called GUiding Extrapolations from Symmetry decayS (GUESS), which exploits Hamiltonian symmetries to improve accuracy of noisy quantum computations. This method is explicitly designed for qua...
Reaction-Level Consistency within the Variational Quantum Eigensolver: Homodesmotic Ring Strain Energies of Cyclic Hydrocarbons
L. Roy, M. Sarkar, M. Tewari +2 more·Mar 13, 2026
Simulation of chemical reactions on quantum computing platforms using quantum classical hybrid algorithms such as the Variational Quantum Eigensolver (VQE) is challenged by the need for a reaction consistent treatment of electron correlation in react...
Fisher information based lower bounds on the cost of quantum phase estimation
Ryosuke Kimura, Kosuke Mitarai·Mar 13, 2026
Quantum phase estimation (QPE) is a cornerstone of quantum algorithms designed to estimate the eigenvalues of a unitary operator. QPE is typically implemented through two paradigms with distinct circuit structures: quantum Fourier transform-based QPE...
Efficient equivalence checking of Clifford-U circuits with shared single-qubit unitaries
Daisuke Sakamoto, Soshun Naito, Yusei Mori +1 more·Mar 13, 2026
Quantum circuit equivalence checking asks whether two circuits implement the same unitary. It guarantees compiler correctness and safe optimization, yet most existing approaches scale exponentially with the number of qubits or the circuit depth, or a...
Probing many-body localization crossover in quasiperiodic Floquet circuits on a quantum processor
Kazuma Nagao, Tomonori Shirakawa, Rongyang Sun +2 more·Mar 13, 2026
Many-body localization (MBL) provides a mechanism by which interacting quantum systems evade thermalization, leading to persistent memory of initial conditions and slow entanglement growth. Probing these dynamical signatures in large systems and at l...
Critical behaviors of magic and participation entropy at measurement induced phase transitions
Eliot Heinrich, Hanchen Liu, Tianci Zhou +1 more·Mar 13, 2026
We study the participation and stabilizer entropy of non-unitary quantum circuit dynamics, focusing on the critical line that separates the low-entanglement spin-glass phase and the paramagnetic phase. Along this critical line, the entanglement has a...
Directionality emergence and localization in a quantum random Lorentz gas
Baptiste Lorent, Jean-Marc Sparenberg, David Gaspard·Mar 12, 2026
The propagation of a spherical wave through a two-dimensional random Lorentz gas composed of small fixed scatterers is studied. Inspired by the Mott problem (how an initially isotropic quantum wave can give rise to a single particle-like track), we i...
Distributed Quantum Computing via Adaptive Circuit Knitting
K. Grace Johnson, Aniello Esposito, Gaurav Gyawali +5 more·Mar 12, 2026
Distributing quantum workloads over many Quantum Processing Units (QPUs) is a crucial step in scaling up quantum computers toward practical quantum advantage due to the limitations in size of a single QPU. In the absence of high-fidelity quantum inte...
Explicit Block Encodings of Discrete Laplacians with Mixed Boundary Conditions
Alexandre Boutot, Viraj Dsouza·Mar 12, 2026
Discrete Laplacian operators arise ubiquitously in scientific computing and frequently appear in quantum algorithms for tasks such as linear algebra, Hamiltonian simulation, and partial differential equations. Block encoding provides the standard met...
Efficient Quantum Simulation for Nonlinear Stochastic Differential Equations
Xiangyu Li, Ahmet Burak Catli, Ho Kiat Lim +4 more·Mar 12, 2026
Nonlinear stochastic differential equations (NSDEs) are a pillar of mathematical modeling for scientific and engineering applications. Accurate and efficient simulation of large-scale NSDEs is prohibitive on classical computers due to the large numbe...
Hybrid Analog-Digital Simulation of the Abelian Higgs model
Muhammad Asaduzzaman, Rayleigh W. Parker, Noah Goss +8 more·Mar 12, 2026
To investigate gauge theories with near-term quantum computers warrants exploration of nontraditional quantum simulators to find resource-efficient simulation protocols and ultimately access exotic features of different field theories, including unex...
Onset of Ergodicity Across Scales on a Digital Quantum Processor
Faisal Alam, Marcos Crichigno, Elizabeth Crosson +7 more·Mar 12, 2026
Understanding how isolated quantum many-body systems thermalize remains a central question in modern physics. We study the onset of ergodicity in a two-dimensional disordered Heisenberg Floquet model using digital quantum simulation on IBM's Nighthaw...
Sparse Phase Ansatzes for Resource-Efficient Qudit State Preparation via the SNAP-Displacement Protocol
Maurizio Ferrari Dacrema·Mar 12, 2026
Efficient preparation of nonclassical bosonic states is a central requirement for quantum computing, simulation, and precision metrology. We study resource-efficient quantum state preparation in bosonic qudit systems using the SNAP-displacement (SD) ...
Optimal control with flag qubits
Liang-Xu Xie, Lui Zuccherelli de Paula, Weizhou Cai +6 more·Mar 12, 2026
High-fidelity quantum operations are the cornerstone of fault-tolerant quantum computation. In open quantum systems, traditional optimal control only passively resists decoherence, leaving environment-induced uncertainty as a fundamental performance ...
Quantum lower bounds for simulating fluid dynamics
Abtin Ameri, Joseph Carolan, Andrew M. Childs +1 more·Mar 12, 2026
Developing quantum algorithms to simulate fluid dynamics has become an active area of research, as accelerating fluid simulations could have significant impact in both industry and fundamental science. While many approaches have been proposed for sim...
The Geometry of Clifford Algorithms: Bernstein-Vazirani as Classical Computation in a Rotated Basis
Bartosz Chmura·Mar 12, 2026
The Bernstein-Vazirani (BV) algorithm is frequently taught as a canonical example of quantum parallelism, yet the standard interference-based explanation often obscures its underlying simplicity. We present a geometric reframing in which the Hadamard...
Noise Correlations as a Resource in Pauli-Twirled Circuits
Antoine Brillant, Rohan N Rajmohan, Peter Groszkowski +3 more·Mar 12, 2026
Randomized compiling (RC) is an established tool to tailor arbitrary quantum noise channels into Pauli errors. The effect of both spatial and temporal noise correlations in randomly compiled circuits, however, is not fully understood. Here, we show t...
Quantum simulation of Liouville equation in geometrical optics with partial transmission and reflection via Schrödingerization
Shi Jin, Shuyi Zhang·Mar 12, 2026
This paper investigates quantum simulation algorithms for the Liouville equation in geometrical optics with partial transmission and reflection at sharp interfaces, based on the Schrödingerization method. By means of a warped phase transformation in ...
From vacuum amplitudes to qubits
Germán Rodrigo·Mar 12, 2026
High-energy colliders, exemplified by the CERN's Large Hadron Collider (LHC), constitute genuine quantum machines. In alignment with Richard Feynman's foundational vision for quantum computing, collider physics emerge therefore as a prime candidate f...