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arXiv:2604.08827v1 Announce Type: new Abstract: Machine learning models and their applications, such as autonomous driving systems, are becoming increasingly common and are essential components of hum…
arXiv:2604.08813v1 Announce Type: new Abstract: Resonators and qubits with a niobium (Nb) base metal layer achieve some of the highest coherence times in superconducting quantum devices. The performan…
arXiv:2604.08763v1 Announce Type: new Abstract: We extend the Weak Adversarial Neural Pushforward Method to the Wigner transport equation governing the phase-space dynamics of quantum systems. The cen…
arXiv:2604.08717v1 Announce Type: new Abstract: Temporally multimode squeezed states have been a topic of recent interest due to their applications in quantum communication, information processing, an…
arXiv:2604.08692v1 Announce Type: new Abstract: A quantum network's purpose is to enable users to execute applications on end nodes. This requires the network to provide the service of creating entang…
arXiv:2604.08674v1 Announce Type: new Abstract: As the capabilities of quantum computing hardware continue to rise, algorithms that exploit them are becoming increasingly complex. These developments i…
arXiv:2604.08672v1 Announce Type: new Abstract: Quantum error correction using erasure qubits offers higher fault-tolerant thresholds and improved scaling by converting dominant physical errors into d…
arXiv:2604.08663v1 Announce Type: new Abstract: How can one certify that an unknown quantum state possesses magic without resorting to full state tomography? We address this question by introducing tw…
arXiv:2604.08661v1 Announce Type: new Abstract: Neural Quantum States based on autoregressive recurrent neural network (RNN) wave functions enable efficient sampling without Markov-chain autocorrelati…
arXiv:2604.08655v1 Announce Type: new Abstract: Achieving sufficiently low residual excited-state populations remains a key challenge in superconducting quantum circuits, particularly for protocols op…
Quantum Computing ETFs Are Dying. Pivot to These 3 AI ETFs 24/7 Wall St.
A Sorbonne team built a quantum photonic reservoir computer, enabling it to process complex time series data without traditional training.
QSB is a scheme for Bitcoin transactions designed to remain secure against the threat of Shor’s algorithm, without requiring any changes to the existing Bitcoin protocol. It achieves this by modifying…
The Quantum Computing ETF That Could Be Bigger Than AI, and 2 Tech Funds Riding the Same Wave 24/7 Wall St.
Guest Post by Howard Rupprecht – managing director, CSconnected In October 2023, a small British company called KETS Quantum Security completed a successful trial of quantum-encrypted communications o…
Post-Quantum Cryptography for Authentication: The Enterprise Migration Guide 2026 Security Boulevard
Infleqtion Forecasts $40 Million in 2026 Revenue National Today
Insider Brief PRESS RELEASE — Northwest Quantum Nexus (NQN), the regional quantum technology hub serving Washington, Oregon, Idaho, and Montana, today announces NW Quantum Day — a landmark regional su…
Insider Brief PRESS RELEASE — Pasqal, a global leader in neutral‑atom quantum computing, today announced a strategic collaboration with True Nexus, a computational intelligence company focused on maki…
Previously, finding valid solutions for complex vehicle routing using quantum algorithms proved exceptionally difficult, with standard approaches often failing to converge. Now, a constraint-aware fra…
Can five quantum states, and no more, completely shield information from collaborative eavesdropping? Previously, constructing such a basis required more states than theoretically possible. Now, a new…
Until now, validating cryptographic security relied on complex mathematical proofs. This work extends deep learning to empirically test ciphertext indistinguishability for both post-quantum and hybrid…
Training a quantum computer typically takes hours, but a new technique reduces this to mere minutes on a five-qubit system. By directly training the underlying matrices, rather than individual quantum…
Can a quantum neural network match digital image recognition with a fraction of the computational cost? It now can, achieving 99% accuracy for binary image classification and 80% for multi-class tasks…