DISCOVERY LIBRARY · SCIENTIFIC RESEARCH

Research &
Scientific Discoveries

Explore documented scientific discoveries, original research and new scientific developments. Search the library by topic, category or date.

Member sign in · Request access

1474 matching published research entries
Quantum Research · 2026-11-03

Experimental Realization of a Nonreciprocal Quantum Battery

arXiv:2611.00878v1 Announce Type: new Abstract: Quantum batteries promise faster and more efficient energy storage and extraction by harnessing quantum mechanics, serving as essential building blocks for future quantum devices. A key practical requirement-unidirectional energy flow during charging-is straightforward in classical batteries via potential difference, yet remains a major challenge in the quantum regime…

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Coherence controls the visibility of frozen disorder in an open quantum chain

arXiv:2611.00832v1 Announce Type: new Abstract: A Gaussian position distribution need not imply that frozen disorder is irrelevant. We study a resonant quantum chain where neighboring sites couple with opposite signs to auxiliary states that decay with frozen, random return probabilities. Lowering dephasing spreads the effect of each local return bias over more sites.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Leaving Quantum Bias on the Table: Pushforwards as a Path to Quantum Advantage in Constrained Optimization

arXiv:2611.00759v1 Announce Type: new Abstract: Constrained quantum samplers often produce infeasible outputs that retain information about good feasible solutions. We develop a post-measurement framework that constructs problem-dependent classical feasibility maps from constraint-violation statistics and pushes the raw quantum sampling law forward onto the feasible set.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Quantum algorithm for weakly correlated molecular electronic ground states with sub-quintic scaling in the system size

arXiv:2611.00751v1 Announce Type: new Abstract: Weakly correlated electronic structures are predominant among molecules, and are routinely solved with heuristic classical methods such as the ``gold standard'' CCSD(T) coupled cluster model, incurring a formal time complexity $O(n^7)$ in the number of molecular orbitals and with no guarantee of energy error $\varepsilon$ at or below chemical accuracy.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Iterative Quantum Optimization: From Greedy Reductions to Branch-and-Bound

arXiv:2611.00678v1 Announce Type: new Abstract: Iterative quantum optimization (IQO) uses quantum-generated information to select a sequence of classical problem reductions. We introduce Bound-Aware Tree-IQO which combines this iterative structure with bounds and reversible search. Feasible measured samples update a shared incumbent, while valid classical bounds prune branches that cannot improve it.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Discovering Models for Experimental Quantum Systems with Agentic AI

arXiv:2611.00620v1 Announce Type: new Abstract: A central obstacle in realizing color center cavity-QED-based quantum technologies is inhomogeneity, or disorder, among individual emitters. As the number of emitters increases, so does the complexity of the experimental data, making it difficult to quantify the present physical mechanisms of disorder.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Compressed Oracle Duality: A simple framework for knowing what quantum adversaries know

arXiv:2611.00609v1 Announce Type: new Abstract: Given a quantum adversary that queries a random oracle, how do we characterize the information that they "know"? The Compressed Oracle method of Zhandry (CRYPTO 2019) is one method that records the queries that the adversary makes; this recording serves as a representation of the information that is learned.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Enhanced shortcuts to adiabaticity in an interacting giant-atom-atomic-waveguide system

arXiv:2611.00601v1 Announce Type: new Abstract: In realistic quantum systems, isolated few-level models usually provide only an approximate description, since the controlled subsystem is generally coupled to additional degrees of freedom. As a result, a quantum control scheme designed for an isolated system may lose its original performance in a more complex coupled setting.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Scaling Laws for Parameter Setting in Digitized Counterdiabatic QAOA

arXiv:2611.00573v1 Announce Type: new Abstract: Optimizing parameters separately for each problem instance limits the reuse of variational quantum algorithms. We develop empirical scaling laws for parameter setting in the digitized counterdiabatic quantum approximate optimization algorithm (DC-QAOA) for weighted MaxCut.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Optimal Estimation in Weak Value Amplification with a Position Pointer

arXiv:2611.00521v1 Announce Type: new Abstract: We experimentally evaluate five estimators for weak-value amplification (WVA) using a position pointer to measure birefringence time delays. Two general approaches are considered: measuring the position shift $\Delta x$ and measuring the probability change $\Delta P_w$ of successful postselection.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Early Fault-Tolerant Magic State Synthesis and Spacetime Efficient Analog Rotations with Color Code on a Superconducting Quantum Processor

arXiv:2611.00404v1 Announce Type: new Abstract: With recent improvements to syndrome extraction scheduling and decoding, and the availability of complete transversal Clifford operations and lattice surgery, color code is an especially promising platform for quantum processors with local connectivity. The key ingredient for universal computation is thus generating useful magic states with limited resources.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Application a quantum machine learning algorithm to the applied problem of modeling the thermal regime of a servers

arXiv:2611.00303v1 Announce Type: new Abstract: Quantum computing is a rapidly developed field of science. In the NISC era, quantum machine learning stands out, potentially outperforming classical machine learning. In this paper, we explore the applicability of quantum machine learning to a real-world application. We solved the problem of prediction of the temperature of GPUs in a high-performance computing cluster.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Triple descent in quantum linear regression

arXiv:2611.00272v1 Announce Type: new Abstract: Quantum linear regression models, such as quantum extreme learning machines and quantum fidelity kernels, are trained on features that can only be estimated from finitely many measurement shots. Sampling noise is usually treated as a nuisance that more shots suppress; we show instead that it can fundamentally reshape the instabilities of the learning problem.

arXiv QuantumRead article →
Quantum Research · 2026-11-03

Distance to integrability and complexity

arXiv:2611.00233v1 Announce Type: new Abstract: We consider nearest-neighbour interactions on spin-1/2 chains. We find the full set of integrable models of this form and apply a numerical algorithm to determine the "closest" integrable model for a given Hamiltonian. This allows us to define a model-independent distance to integrability.

arXiv QuantumRead article →