Quantum Approximate Optimization Algorithm (QAOA)

Just Because a QPU Gives You a Result Once, Does Not Mean It Will Do So Reliably

In February of 2022, Agnostiq released a study providing the present state-of-the-art for solving combinatorial optimization problems on real, noisy gate-model quantum computers. Although the study was primarily focused on the optimization of discrete financial portfolios, the work is much more general with consequences for other industrially important problems including vehicle routing, task scheduling and facility location services.

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Europe Enters New Era of Hybrid Quantum-HPC

With the “High-Performance Computer and Quantum Simulator hybrid” (HPCQS) project, Europe is entering a new era of hybrid quantum high-performance computing. The aim is to closely connect two quantum simulators, each with over 100 qubits, with two European supercomputers. The infrastructure project is part of the research and innovation action “Advanced pilots towards the European exascale Supercomputers” and is funded by the European High-Performance Computing Joint Undertaking (EuroHPC JU) based in Luxembourg. HPCQS has a total budget of 12 million euros over 4 years, which is financed in equal parts by EuroHPC JU and the participating member states.

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Quantum Error Correction, Quantum Volume Records, and Quantum Optimization all Part of Honeywell’s & CQC’s Recent Breakthroughs

For the first time, researchers at Honeywell Quantum Solutions demonstrated repeated rounds of real-time quantum error correction (QEC), an advancement that represents a significant step toward the realization of large-scale quantum computing. The company also achieved a quantum volume of 1,024, doubling its own record from just four months ago. Beyond the hardware milestones, Cambridge Quantum also has developed a new quantum algorithm that uses fewer qubits to solve optimization problems.

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