Researchers at the University of Hong Kong used special models to simulate the phase transition from one quantum state to another.
Category: quantum physics – Page 117
Supercharged Qubits: How MIT’s Quarton Coupler Accelerates Quantum Computing
A new MIT-designed circuit achieves record-setting nonlinear coupling, allowing quantum operations to occur dramatically faster.
The heart of this advance is the “quarton coupler,” which boosts both light-matter and matter-matter interactions. This progress could lead to quicker quantum readouts, crucial for error correction and computation fidelity.
Unlocking Quantum Computing’s Speed Potential.
An operating system for quantum computers emerges 🖥️
Researchers have achieved a crucial milestone in quantum computing. They have created an operating system capable of enabling communication between quantum computers using different technologies.
This system, named QNodeOS, represents a significant advancement for quantum machine interoperability. Unlike classical systems like Windows or iOS, it is designed to handle the unique complexity of qubits, regardless of their physical nature. This innovation paves the way for more flexible and powerful quantum networks.
Quantum-Neural Hybrid Solves Impossible Math
The worlds of quantum mechanics and neural networks have collided in a new system that’s setting benchmarks for solving previously intractable optimization problems. A multi-university team led by Shantanu Chakrabartty at Washington University in St. Louis has introduced NeuroSA, a neuromorphic architecture that leverages quantum tunneling mechanisms to reliably discover optimal solutions to complex mathematical puzzles.
Published March 31 in Nature Communications, NeuroSA represents a significant leap forward in optimization technology with immediate applications ranging from logistics to drug development. While typical neural systems often get trapped in suboptimal solutions, NeuroSA offers something remarkable: a mathematical guarantee of finding the absolute best answer if given sufficient time.
“We’re looking for ways to solve problems better than computers modeled on human learning have done before,” said Chakrabartty, the Clifford W. Murphy Professor and vice dean for research at WashU. “NeuroSA is designed to solve the ‘discovery’ problem, the hardest problem in machine learning, where the goal is to discover new and unknown solutions.”
Betavoltaic cell with perovskite-radioactive isotope combo can power long-term applications
A research team has developed the world’s first next-generation betavoltaic cell by directly connecting a radioactive isotope electrode to a perovskite absorber layer. By embedding carbon-14-based quantum dots into the electrode and enhancing the perovskite absorber layer’s crystallinity, the team achieved both stable power output and high energy conversion efficiency.
The work is published in the journal Chemical Communications. The team was led by Professor Su-Il In of the Department of Energy Science & Engineering at DGIST.
The newly developed technology offers a stable, long-term power supply without the need for recharging, making it a promising next-generation energy solution for fields requiring long-term power autonomy, such as space exploration, implantable medical devices, and military applications.