Classiq and Alice & Bob Unite to Pioneer Fault-Tolerant Quantum Computing with Cat Qubit Technology

Quantum software company Classiq and quantum computing firm Alice & Bob have announced a partnership aimed at bridging the gap between quantum software and hardware. The collaboration will enhance the Classiq platform with Alice & Bob’s cat qubit technology, a promising tool for implementing logical qubits. The partnership will also expand Classiq’s range of quantum computing back-ends to include an early-access program to the first logical qubit emulator. This initiative will allow researchers and developers to explore the effects of quantum noise and test the resilience of quantum algorithms in a near-real quantum environment.

Quantum Software and Hardware Integration: Classiq and Alice & Bob Partnership

Classiq, a quantum software company, and Alice & Bob, a company focused on building a fault-tolerant quantum computer, have announced a partnership aimed at bridging the gap between quantum software and hardware. This collaboration is expected to pave the way for the era of Fault-Tolerant Quantum Computing by integrating Alice & Bob’s cat qubit technology and tooling for logical qubits into the Classiq platform.

Théau Peronnin, CEO of Alice & Bob, describes this collaboration as a significant shift in the quantum community’s understanding of the importance of logical qubits. However, these logical qubits necessitate a new set of tools. By integrating cat qubits, a promising technology for implementing logical qubits, with Classiq’s platform, a sophisticated circuit synthesis engine, the quantum community is offered a glimpse into the future.

Logical Qubit Emulator: A New Addition to Classiq’s Quantum Computing Back-Ends

A key aspect of this partnership is the expansion of Classiq’s range of quantum computing back-ends to include an early-access program to the first logical qubit emulator. This emulator is capable of simulating logical qubits based on cat qubits and allows researchers and developers to explore the effects of quantum noise and test the resilience of quantum algorithms in a near-real quantum environment.

Nir Minerbi, CEO of Classiq, emphasizes that the Classiq platform is dedicated to maximizing the potential of quantum computers. The collaboration with Alice & Bob, who plan to build a quantum computer with 100 logical qubits at a 1e-8 error rate, inspires Classiq to adapt their platform to support their progress. Future enhancements to resource estimation and compilation tool capabilities are also planned.

Accelerating Quantum Computing Advancement: A Shared Vision

Peronnin and Minerbi express that their partnership is a testament to their companies’ shared vision of accelerating the advancement of quantum computing. By providing the quantum computing community with access to state-of-the-art technologies, they aim to prepare developers and researchers worldwide for the fault-tolerant devices that will fulfill the promises of quantum computing.

Classiq: Democratizing Access to Quantum Computing

Classiq Technologies, a quantum software company, offers a comprehensive platform that provides a single point of entry into quantum computing, from algorithm design to execution. The high-level descriptive quantum software development environment, tailored to all levels of developer proficiency, automates quantum programming. This allows a broad range of talents, including those with backgrounds in AI, ML, and linear algebra, to harness quantum computing without requiring deep, specialized knowledge of quantum physics. Classiq’s core technology, algorithmic quantum circuit compilation, is designed to power the quantum ecosystem of today and the future.

Alice & Bob: Pioneering Cat Qubits for Quantum Computing

Alice & Bob, a start-up based in Paris and Boston, aims to build the first universal, fault-tolerant quantum computer. The company specializes in cat qubits, a technology pioneered by the company’s founders and later adopted by Amazon. Alice & Bob recently demonstrated that its cat architecture could reduce hardware requirements to build a large-scale useful quantum computer by up to 200 times compared to competing approaches.