946 papers
This paper proposes a low-depth, nonlinear quantum neural network framework that leverages novel activation functions and optimized circuit topologies to efficiently engineer scalable multipartite entanglement on near-term noisy quantum devices, demonstrating significant performance advantages over linear approaches for systems up to 20 qubits.
This paper proposes the SNAQ architecture, which leverages spin shuttling to time-multiplex readout and enable dense qubit layouts in silicon, thereby achieving significant reductions in chip area and substantial improvements in logical clock speed and fault-tolerant subroutine performance for spin qubit-based quantum computing.
This paper introduces minimal decomposition entropy as a local unitary invariant to analyze and classify absolutely maximally entangled (AME) states, presenting an efficient algorithm that reveals their sparser optimal representations and distinct entanglement properties compared to generic states.
This paper investigates the non-classical phenomenon of quantum backflow in biased tight-binding systems with complex couplings by analyzing various boundary conditions and lattice sizes to identify superpositions of positive momentum states that maximize the effect and determine the theoretical bounds on the total probability flowing opposite to the particle's momentum.
This paper presents a Lindblad-based framework for analyzing slowly driven many-qubit thermal machines, demonstrating that geometric heat pumping can surpass the non-interacting Landauer-like bound through qubit interactions and asymmetric bath couplings, thereby offering a pathway to optimize the performance of driven quantum heat engines.
This paper presents a polynomial-time algorithm that provides an exact, suboptimal solution for decomposing arbitrary two-body Hamiltonians into local unitary transformations of an Ising Hamiltonian, thereby enabling scalable digital-analog quantum simulation without the need for computationally expensive numerical optimization.
This paper demonstrates that in open-system -qubit quantum batteries, optimal dissipation can stabilize entanglement to achieve super-extensive scaling of charging power and energy storage, particularly within the Tavis-Cummings model, thereby outlining a pathway for scalable quantum batteries with practical advantages.
This paper introduces "genqo," a Python-based full-stack modeling toolkit integrated with the QuantumSavory simulator and QuantumSymbolics system, which utilizes a hybrid Gaussian and non-Gaussian formalism to efficiently simulate realistic, mode-by-mode cascaded entanglement networks based on the practical ZALM source.
This paper establishes a fundamental resource threshold for photonic measurement-based quantum computing by proving that generalized type-II fusion of qudit graph states via linear optics requires at least ancilla qudits to achieve the necessary entanglement rank, thereby extending previous no-go results from qubits to high-dimensional systems.
This paper extends the Decoded Quantum Interferometry (DQI) algorithm to quadratic constraints (max-QUADSAT) by leveraging quadratic Gauss sums and introducing the quadratic-OPI problem to demonstrate quantum advantage, while providing a generalized semicircle law for performance guarantees, though the authors note that a discovered error in the state preparation step currently invalidates the main result pending a fix.
This paper establishes that distinct notions of quantum pseudorandomness are likely not equivalent by proving oracle separations, such as the existence of log-length PRFSGs without QPRGs with negligible error, thereby demonstrating that quantum pseudorandomness behaves fundamentally differently from its classical counterpart.
This paper introduces a novel recursive twin-collapse algorithm based on graph theory that simplifies generic many-body Hamiltonians by identifying symmetric vertex pairs and line-graph modules, thereby expanding the class of models solvable as non-interacting free fermions and providing a generalized discrete Stone-von Neumann theorem for applications in quantum physics and computation.
This paper presents and compares two quantum circuit preparation methods for multiconfigurational chemical states, demonstrating that exploiting the sparsity of chemical wavefunctions can yield significantly more efficient circuits than the previously established approach using externally controlled Givens rotations.
This paper proposes two experimentally viable schemes for long-range device-independent quantum key distribution using only SPDC sources and linear optics, which achieve favorable key rate scaling and positive asymptotic rates with detector efficiencies as low as 80% while providing rigorous finite-size security bounds.
This paper introduces a majorization lattice framework for detecting quantum steering in arbitrary dimensions and measurement settings, yielding stricter inequalities for various quantum states that surpass existing methods and generalize known high-dimensional results as approximate limits.
This paper demonstrates that the high expressibility of quantum neural networks can be efficiently replicated using purely classical resources, specifically through Clifford-enhanced matrix-product states (CMPS), which achieve rapid convergence to the Haar distribution in terms of entanglement and non-stabilizerness without requiring quantum hardware.
This paper constructs a -symmetric, integrable spin- Richardson-Gaudin model by deforming closed Hamiltonians with complex fields, establishing its exact solvability, identifying the physical metric, and characterizing its spectral phases and spin dynamics through both numerical and analytical methods.
This paper introduces CONQURE, an open-source co-execution framework that bridges the gap between quantum and classical computing by enabling seamless offloading of OpenMP quantum kernels to QPUs, efficient resource scheduling, and low-overhead result integration, demonstrated by achieving a 3.1X runtime reduction in parallelized VQE runs on an ion-trap device.
This paper demonstrates that pre-shared entanglement using two-mode squeezed vacuum states significantly reduces the latency of optical channel transmittance change detection by leveraging quantum relative entropy scaling, while simultaneously enhancing the fundamental trade-off between communication capacity and detection speed.
This paper proposes an experiment using two isolated optomechanical systems to test the quantum nature of gravity by demonstrating that if a gravitationally induced optical channel can preserve entanglement (a phenomenon termed "gravitationally induced transparency"), then gravity itself must be non-classical, a conclusion reached without assuming a specific quantum gravity model.