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Oxford Quantum Circuits (OQC), a spinout from Oxford University, has recently unveiled Toshiko, a 32-qubit quantum computing services platform. The company claims that Toshiko is the world’s first enterprise-ready quantum computing platform. To support this launch, OQC has secured a $100 million Series B funding round led by SBI Group’s investment arm. OQC is collaborating with Equinix, NVIDIA, AWS, and McKinsey to bring quantum computing out of the lab and pave the way for quantum advantage.Quantum advantage refers to the point at which a quantum computer can solve a problem that traditional binary computers cannot solve within a reasonable amount of time. While there have been claims of quantum advantage in the past, there is currently no industry-wide consensus on this matter. Despite quantum computing systems still being considered experimental, the emergence of hybrid and cloud-based classical/quantum systems, along with the introduction of on-site commercial quantum platforms, has led the sector to focus on enterprise solutions.Tim Costa, director of HPC and quantum at NVIDIA, emphasized the importance of integrating quantum with GPU-accelerated supercomputing. By combining OQC Toshiko with the NVIDIA GH200 Grace Hopper Superchip through NVIDIA CUDA Quantum, OQC aims to empower businesses and researchers to make breakthroughs across industries and scientific domains.In addition to the launch of Toshiko, OQC has also announced a $100 million Series B funding round. SBI Investments will lead the funding round, with participation from Oxford Science Enterprises, University of Tokyo Edge Capital Partners, Lansdowne Partners, and OTIF. This funding round follows OQC’s previous Series A funding, which raised approximately $43 million and set a record for the largest quantum computing startup funding round in the UK.Overall, OQC’s launch of Toshiko and the significant funding it has secured demonstrate the growing interest and investment in quantum computing, as well as the potential for quantum advantage in solving complex problems.