Introducing the Monte Carlo Integration application function and a finance course to help you learn and run enterprise-scale financial risk modeling without needing quantum expertise. Every day, ...

Predicting hydration sites inside protein binding pockets is computationally demanding but essential for understanding how drugs interact with their targets and for improving drug discovery pipelines.

Quantum computer calibration is one of the most important and persistent challenges in the field. Before a quantum processor can ever run an algorithm, its physical qubits must be characterized and ...

In our recent benchmark study (arXiv:2605.04025), we targeted a high-value physical problem: simulating the time evolution of fermionic systems. Unlike basic spin models, fermionic systems present ...

At Q-CTRL, we build quantum infrastructure software that empowers enterprises, developers, and researchers to get the most out of quantum hardware. As highlighted in our recent real-world deployments ...

Real-world optimization problems, such as rail scheduling, are challenging to solve, even approximately. Quantum computing offers a solution, but errors block the usefulness of today’s devices.

Today’s quantum computers are growing rapidly, but errors hinder the ability to get useful results. Fire Opal is an out-of-the-box cloud solution that allows you to solve your toughest quantum ...

Don't let decoherence, noise, and errors stop your research. Overcoming instability is essential to building the next generation of quantum hardware. Whether it's a new device architecture or a unique ...

Access Fire Opal and IBM Quantum hardware through one trusted partner to maximize your quantum investment. Solving the distribution network reconfiguration problem requires advanced optimization ...