Automating quantum control with machine learningbroad
qx · Horizon Europe grant · 2023-04-01–2025-09-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2022-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2022-ACCELERATORCHALLENGES-01. CORDIS record →
Objective
Quantum computing will be one of this century's most transformative technologies. These machines will open a new world of possibilities for science and industry. But first, we need to radically transform how we operate quantum computers. Quantum computers are intricate and delicate instruments. Tuning them is time-consuming and difficult. And they go out of tune rapidly. In the end, these amazing instruments spend much more time being tuned than used. If we want to turn quantum computing into a robust industry, things have to change. This is the challenge we take on at Quantrolox. We develop solutions that keep quantum computers automatically in tune. Our quantum autopilot software continuously monitors and adjusts thousands of parameters to ensure smooth operation. In this way, we accelerate development cycles and drastically increase uptime.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| QUANTROLOX FINLAND OY | FI | coordinator | €2,495,500 | Yes |
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