Use Cases for Quantum Computing

Quantum-South has released a new version of its air cargo optimization software that uses quantum-inspired optimization algorithms to determine the optimal loading strategy for packing a consignment into an aircraft.

Quantinuum researchers have used a fault-tolerant quantum algorithm run using logical qubits to simulate the hydrogen molecule for the first time.

Truist Financial Corp. has joined IBM’s Quantum Accelerator program to develop internal expertise in quantum computing to prepare to use the technology for future financial services applications.

Quantum technology company Terra Quantum and investment bank Cirdan Capital claim to have developed a faster quantum-based algorithmic method for pricing exotic financial options.

Rigetti and ADIA Lab are developing a quantum solution to a financial sector problem known as the probability distribution classification problem.

Q-CTRL and Australia’s Department of Defense plan to jointly develop a quantum-assured navigation capability for military platforms using Q-CTRL’s software-ruggedized quantum sensing technology.

Quantum computing companies Pasqal and Qunova Computing are working with South Korean steel company Posco to investigate how quantum could improve steelmaking processes.

QuantumBasel has launched a quantum pilot project with Vinci Energies to optimize heating, ventilation and cooling (HVAC) system design and installation.

Quantum computing company Multiverse Computing is working with clean energy multinational Iberdrola to use quantum optimization algorithms to modernize electrical grids.

HSBC has become the first bank to join BT and Toshiba’s quantum-secured metro network.

Algorithmiq, a company that specializes in quantum computing products for life sciences, has raised $15 million in a series A funding round.

Quantum AI specialist Zapata Computing has agreed with the Technical University of Denmark (DTU) to investigate how quantum computing can create near-term value for pharmaceutical manufacturers.

NTT Data researchers have used a hybrid quantum approach to optimize genome sequencing and assembly, providing information that could be used to develop new treatments and therapies to target underlying genetic causes of disease.