Variational Framework Prepares Thermal States On Quantum Processors, Assisted By Matrix Product States For 1D And 2D Systems

Variational Framework Prepares Thermal States On Quantum Processors, Assisted By Matrix Product States For 1D And 2D Systems

Researchers have developed a new computational method using quantum processors to accurately simulate the behaviour of complex materials at different temperatures, achieving a significant reduction in errors when calculating key properties like energy and susceptibility.

IBM Reports Largest Entangled State to Date, Achieving 0.56 Fidelity on 120 Superconducting Qubits

IBM Quantum researchers have successfully prepared the largest Greenberger–Horne–Zeilinger (GHZ) state reported to date, consisting of 120 superconducting qubits. The experiment, detailed in a paper titled "Big cats: entanglement in 120 qubits and beyond," achieved a measured fidelity of 0.56(3), surpassing the 0.5 threshold required to confirm genuine multipartite entanglement across all qubits. The resource [...] The post IBM Reports Largest E…

QpiAI Launches Kaveri, India’s Most Powerful 64 Qubit Quantum Processor

QpiAI has launched the Kaveri, a 64-qubit superconducting quantum chip, India’s most powerful quantum processor. This was launched at the emerging science, technology and innovation conclave in Delhi. The event was inaugurated by Jitendra Singh, the union minister for science and technology, and presided over by Prime Minister Narendra Modi.   The processor aims to strengthen India’s capabilities in quantum computing and deepen its leadership in…