IQM Quantum Computers

In this Vendor Showdown talk, moderated by Addison Snell of Intersect360 Research and Rupak Biswas of NASA Ames Research Center, Christine Rezai, director of customer solutions at IQM Quantum Computers, gives a five-minute overview of the company and its newest product. She frames quantum computers as accelerators for problems intractable to classical resources, citing quantum simulation for chemistry and materials, optimization, and machine learning. IQM positions itself as the leader in on-premises quantum computer deployments over the past five years, with systems installed worldwide including at Oak Ridge National Laboratory, and current machines at 54 qubits with 150-qubit systems coming. The featured product is a full quantum computing system designed to let HPC centers and researchers conduct quantum error correction research, an area previously dominated by proprietary competitor systems; it is planned to be compatible with NVIDIA NVQLink for coupling to GPUs, and IQM systems are described as upgradable toward fault-tolerant machines. In the question round, Rezai explains that IQM builds superconducting transmon qubit systems and describes two chip topologies: a crystal layout with four nearest-neighbor connectivity and a constellation layout with twelve nearest neighbors, which reduces swap gates and enables different error-correcting codes, though connectivity is fixed in hardware at purchase. Further answers cover hybrid classical-quantum integration via Ethernet since 2022, latency requirements for real-time error decoding, and the fact that logical-to-physical qubit ratios depend on the chosen error-correcting code family.