Search results for: Alice & Bob

Alice & Bob, a company developing fault-tolerant quantum computers, announced the closure of a €100 million ($104.9 million USD) Series B funding round, led by Future French Champions (FFC), AVP, and Bpifrance. The funding aims to advance Alice & Bob’s mission of building the world’s first useful quantum computer by 2030. Alice & Bob’s proprietary “cat qubit” technology suppresses bit-flip errors, enabling scalable quantum computing with significantly reduced hardware requirements. This innovation allows the company to achieve fault tolerance with only thousands of qubits instead of the millions needed by other approaches. Funds will support the development of the first error-corrected [...]

Alice & Bob, a quantum computing company specializing in "Cat qubits," has published its first white paper outlining a five-year roadmap to deliver fault-tolerant quantum computing. The plan, targeting 100 high-fidelity logical qubits by 2030, builds on their proprietary cat qubit technology, designed to reduce quantum errors and improve scalability. Key Milestones in the Roadmap: Master the Cat Qubit: 1 Cat Qubit, 0 Logical Qubits Achieved in 2024 with the Boson chip series, this milestone established reliable qubits resistant to bit-flip errors. Build a Logical Qubit: 16 Cat Qubits, 1 Logical Qubits, 10-2 Logical Error Rate Ongoing work with the Helium [...]

Alice & Bob has introduced Felis 1.0, a groundbreaking logical qubit emulator designed to aid the transition from noisy intermediate-scale quantum (NISQ) devices to fault-tolerant quantum computing. Built on IBM's Qiskit framework, Felis offers tools for developers to adapt algorithms for logical qubits and optimize them for fault-tolerant quantum computers, specifically leveraging Alice & Bob's cat qubit architecture. Key Features: Logical Qubit Emulation: Felis enables users to explore and experiment with fault-tolerant quantum algorithms, preparing for practical use cases. Cat-Qubit Specific Tools: Supports Alice & Bob's proprietary cat qubits, which significantly reduce error correction overhead. Compatibility with Qiskit 1.2: Provides faster [...]

Performance Benchmark Comparison versus QuTip for Five Different Cases on both CPU and GPU based Systems. Credit: Alice & Bob Alice & Bob has introduced Dynamiqs, an open-source quantum simulation Python library that integrates NVIDIA-accelerated computing to achieve up to 60x faster performance in quantum simulations. Developed in collaboration with researchers from institutions including the University of Sherbrooke, Yale, INRIA, Ecole de Mines, and ENS, Dynamiqs addresses the computational challenges of simulating complex quantum systems, enabling breakthroughs in quantum research and development. The library leverages NVIDIA GPU acceleration and the differentiability of JAX and Diffrax frameworks to enhance simulation capabilities. GPU [...]

EDF, in partnership with Quandela, Alice & Bob, and CNRS, has embarked on a groundbreaking €6.1 million ($6.542M USD) project named "Energy Optimization of Quantum Circuits" (OECQ), supported with a grant of up to €4.5 million ($4.87M USD) from France 2030 through Bpifrance. The primary objective of OECQ is to evaluate and enhance the energy efficiency of quantum computing systems in comparison to traditional high-performance computing (HPC) methods. This initiative represents a critical milestone in quantifying the energy requirements of quantum processors across real-world applications such as optimization, physical simulation, and material science. EDF, a leader in energy solutions, will provide energy-intensive [...]