QuiX Quantum strengthens Asia presence through exclusive distribution partnership with Tohoku Electronic Industrial in Japan for its Alquor 2.0 quantum photonic processors.

QuiX Quantum strengthens Asia presence through exclusive distribution partnership with Tohoku Electronic Industrial in Japan for its Alquor 2.0 quantum photonic processors.
Correction notice: integral signs in Equation 7 of the published research on asynchronous multi-photon interference for quantum networks have been restored in the PDF version.
Analysis reveals fundamental trade-off in photonic CZ gates: optimizing two-photon phase shifts distorts single-photon wave packets, limiting gate fidelity to ~60% with passive emitter-cavity systems in waveguides.
Integrated silicon nitride modulators achieve 50% sideband conversion efficiency via harmonically-spaced resonances, enabling 97% gate efficiency for trapped ion and neutral atom qubits using sub-harmonic driving with 91.7% fabrication yield.
Unified framework predicts photonic CNOT gate fidelity across different single-photon platforms using Hong-Ou-Mandel visibility and second-order coherence, establishing multiphoton emission as fundamental error source comparable to indistinguishability.
Gradiant develops integrated photonic circuits enabling real-time on-board data analysis for satellites, reducing power consumption and ground transmission while supporting autonomous space operations.
Novel integrated photonic quantum reservoir achieves nonlinear machine learning without active tuning, enabling zero-power operation while supporting classification, prediction, and forecasting tasks efficiently.
Explicit graph families enable photonic generation of Dicke states with equal-amplitude basis states. Solves coNP-complete verification challenge through doubled complete core gadgets and spectator mode constructions.
OptQC secures $47M Series A2 to develop 10,000-qubit optical quantum processors. New Tokyo R&D facility launching February 2027 targets 100x performance increase over the current MoQuren system deployed at AIST.
NLM Photonics and LIGENTEC successfully fabricated silicon nitride organic hybrid modulators, enabling low-loss active modulation across visible-to-infrared wavelengths for quantum key distribution and trapped-atom laser control.
Litavis integrates photon counting, timing, and statistical analysis on a single chip with software-configurable capabilities. Features 256×256 resolution with picosecond timing for applications ranging from fluorescence imaging to quantum sensing.
Developed broadband silicon-on-insulator mode couplers using partial Euler bends achieving 94% TE0-to-TE1 conversion efficiency and 90 nm bandwidth at 1550 nm, enabling high-dimensional photonic quantum information processing.
First compiler optimizing photonic quantum circuits for hardware imperfections achieves up to 33.2% improvement in coincidence rates by intelligently placing computations and accounting for realistic transmission losses.
Quandela and Quanova formalize strategic partnership to develop Vietnam's quantum ecosystem, leveraging photonic quantum computing with Nam A Bank investment and high-level government backing.
Novel algorithmic framework using linear quantum graphs systematically discovers heralded photonic circuits for generating multipartite entangled states, enabling automated design of quantum error-correcting codes and magic states.
A giant atom coupled to waveguides enables programmable Hong-Ou-Mandel interferometry, with tunable coupling phases providing continuous control over two-photon quantum interference for quantum information and sensing applications.
Demonstrates entanglement generation between spatially separated multi-photon systems via mode swapping in three-mode interferometers, advancing scalable optical quantum computing approaches.
Quandela & NVIDIA unveil photonic QPU integration architecture achieving sub-4 microsecond latency for GPU-QPU co-location, enabling real-time quantum error correction and automated calibration in hybrid quantum-classical data centers.
Quandela and NVIDIA published a technical framework for integrating photonic quantum processors into AI and HPC environments, demonstrating low-latency integration capabilities for practical quantum-classical workflows.
We propose a practical in situ protocol for simultaneously characterizing photon-subtraction device parameters using only operational measurement data. Joint parameter estimation outperforms sequential methods across experimentally relevant regimes.