UCLA and Caltech researchers achieved 86.2% success controlling hydronium using Fourier Neural Operators, reducing sequence design time from 10 hours to 20 minutes. The approach enables exploration of quantum states for fundamental physics research.

UCLA and Caltech researchers achieved 86.2% success controlling hydronium using Fourier Neural Operators, reducing sequence design time from 10 hours to 20 minutes. The approach enables exploration of quantum states for fundamental physics research.
Anyon Computing launched an NVQLink-based quantum control system integrating quantum processors with GPU/CPU nodes, enabling quantum-classical loops with microsecond latency. System developed autonomously by AI agents.
Researchers discovered chiral limit-cycle phases in an open Dicke model with opposite directionality, separated by a superradiant state. These dissipation-induced phases are robust under perturbations and are candidates for chiral time crystals.
UCLA, Caltech, and NVIDIA developed a Fourier Neural Operator that learns molecular quantum dynamics, enabling 10^7× faster quantum control pulse sequence design with 86.2% state preparation fidelity on trapped hydronium ions.
Anyon Computing's new open-source control plane integrates superconducting QPUs as co-processor nodes with NVIDIA GPUs, enabling microsecond-scale quantum error correction and hybrid quantum-classical machine learning in enterprise data centers.
Standing-wave control fields enable diffusion-free storage of traveling probe pulses in rare-earth doped crystals, extending quantum memory coherence times from 3.6 to 5.7 switching periods compared to traveling-wave configurations.
Experimental study of 14 superconducting transmons reveals universal scaling law for chaos thresholds in parametric drives: ηmax ∝ γ^0.61, where γ = ωq/|α|. Floquet and semiclassical simulations validate the relationship across wide parameter ranges.
Researchers classified quantum systems based on whether they can be simplified to finite-dimensional descriptions. Gaussian and Conditional Momentum Moment dynamics allow exact reduction; general nonlinear systems require infinite variables.
UC Berkeley partners with Oxford spin-out QuantrolOx at Roger Herst Quantum Nexus. Collaboration deploys machine-learning-driven Quantum EDGE software for autonomous superconducting QPU calibration and benchmarking.
Spectral core-tail framework for quantum Gibbs state preparation: separates thermal populations from basis transforms, enables rigorous local error certification, and achieves quadratic residual reduction through structured Schrieffer-Wolff reduction.
Engineered spin Hamiltonians enable perfect quantum state transfer from localized to symmetric configurations using only static, time-independent control. Symbolic proof covers all system sizes N≥4 without numerical optimization.
Direct single-frequency CROT gate implementation for bosonic quantum error correction enables code-agnostic error correction with 60+ on-off ratio, advancing hardware-efficient quantum computing with superconducting microwave cavities.
Demonstrated a remote flux mechanism that redirects quantum amplitudes escaping encoded states back to targets with 99.7% error suppression via coherent interference, enabling near-perfect transfer without changing transfer states.
Novel ringdown method measures mechanical quality factors via nonlinear optical cavity response without resolving fast dynamics, eliminating probe-induced backaction and noise in high-Q optomechanical systems.
A three-emitter scheme generates high-purity two-photon bundles where finite level structures intrinsically exclude unwanted higher-excitation states, achieving near-100% bundle purity with potential quantum information applications.
Deep Q-learning agent autonomously discovers optimized microwave pulse sequences for quantum state preparation, achieving 17-29× more sub-Hartree-Fock states than random search and fidelities >0.995 across superconducting qubits.
Mathematical analysis of spatial decoherence in many-body quantum systems reveals instantaneous decoherence in the Zeno limit and temporal resolution at critical coupling scales, with implications for macroscopic quantum object localization.
Novel parametric control method for quantum dot spins achieves ~155ps gate times (~290× faster than prior acoustic methods) with 99.9% fidelity, enabling universal spin control and opening pathways for acoustically-coupled hybrid quantum architectures.
Kerr nonlinearity enables precise control of quantum synchronization through amplitude-dependent frequency shifts, revealing a simple linear scaling between Kerr strength and required squeezing for phase locking in driven quantum oscillators.
Diffusion sampling error reduced via boundary cancellation: connecting diffusion models to quantum annealing through counterdiabatic driving, achieving T^(-2r-2) error bounds by vanishing endpoint derivatives of scheduling protocols.