quant-ph

How to use quantum computers for biomolecular free energies

Rashba spin-orbit coupling and artificially engineered topological superconductors

This paper reviews the critical role of Rashba spin-orbit coupling in engineering low-dimensional topological superconductors that host Majorana zero modes, thereby enabling fault-tolerant topological quantum computation by enhancing the topological energy gap and protecting qubits from decoherence.

Conditions for Large-Sample Majorization of Pairs of Flat States in Terms of $\alpha$-z Relative Entropies

This paper provides the first operational interpretation of $\alpha$-z relative entropies by establishing that they characterize the necessary and sufficient conditions for large-sample and catalytic relative majorization of flat state pairs, thereby determining optimal conversion rates through real-algebraic techniques involving preordered semirings.

Probing metric fluctuations with the spin of a particle in a quantum simulation

This paper proposes a quantum simulation using an atom coupled to a bimodal optical cavity to emulate a (2+1)D massive gravity model, enabling the observation of spacetime metric fluctuations through the evolution of a fermion's spin with current technology.

Fractional Angular Momenta in Electron Beams and Hydrogen-Like Atoms

This paper extends the concept of fractional angular momenta, previously identified in relativistic Gaussian electron beams, to hydrogen-like atoms by demonstrating that the Dirac equation's factorization induces a specific mixing of angular momentum states that results in fractional contributions from both spin and orbital components.

Architecting Distributed Quantum Computers: Design Insights from Resource Estimation

This paper addresses the scalability limitations of monolithic fault-tolerant quantum computers by proposing a distributed architecture based on lattice surgery for superconducting qubits, supported by a new resource estimation framework that benchmarks thousands of configurations to provide concrete, feasible design configurations and research priorities for achieving quantum advantage.

Genuine multientropy, dihedral invariants and Lifshitz theory

This paper investigates genuine multientropy and dihedral invariants for tripartite pure states, deriving analytical results for Lifshitz groundstates and establishing connections between these multi-invariants, mutual information, logarithmic negativity, and reflected entropies.

Picking NPA constraints from a randomly sampled quantum moment matrix

This paper introduces a simple and flexible method for implementing semi-definite programming relaxations to bound quantum correlations by deriving equality constraints from randomly sampled moment matrices, thereby facilitating the analysis of quantum behavior across diverse operational scenarios.

From Membership-Privacy Leakage to Quantum Machine Unlearning

This paper investigates membership-privacy leakage in quantum machine learning by demonstrating its existence in quantum neural networks and proposing a quantum machine unlearning framework with three mechanisms to effectively mitigate such leakage while preserving model accuracy.

Can Hawking effect of multipartite state protect quantum resources in Schwarzschild black hole?

This study reveals that in Schwarzschild spacetime, increasing the excitation number $q$ of multipartite states under the Hawking effect degrades quantum entanglement and mutual information while simultaneously enhancing quantum coherence, thereby offering a trade-off for optimizing different quantum information protocols in gravitational settings.