First, researchers at Honeywell Quantum Solutions demonstrated repeated rounds of real-time quantum error correction (QEC).
Secondly, the company achieved a quantum volume of 1,024 which was the highest measured on a quantum computer to date.
Thirdly, Cambridge Quantum unveiled details of a proprietary quantum algorithm that uses far fewer qubits than has previously been assumed necessary, to solve critical optimization problems that are vital for industrial and financial applications.
Honeywell says the performance of its System Model H1 has doubled in the last four months.
Researchers have created a single logical qubit from ten physical qubits available on the System H1 Model and applied multiple rounds of QEC – protocols necessary to protect quantum information.
Protected from the main types of errors that occur in a quantum computer – bit and phase flips – this logical qubit combats errors that accumulate during computations.
Honeywell and Cambridge Quantum announced in June they are combining to form a stand-alone quantum computing company.
The new quantum algorithm shows how the combination of the two companies speeds up convergence, accuracy, and scalability of quantum algorithms for combinatorial optimisation problems such as supply chain challenges in manufacturing or route optimisation scenarios in logistics.
More specifically, Cambridge Quantum has developed new methods to accelerate convergence up to 100 times faster, improve the solution quality, and reduce hardware resource requirements compared to standard Variational Quantum Eigensolver and Quantum Approximate Optimization Algorithm.