About the School
Quantum information science, once confined to theoretical thought experiments, has transformed over 30 years into a rapidly growing field drawing together physicists, engineers, computer scientists, and mathematicians. Its applications — from quantum sensing to quantum computation — are opening new scientific and technical advances. Yet a fundamental challenge remains: the vulnerability of quantum information to decoherence, which drastically limits the number of operations possible before quantum superposition and entanglement are lost.
To counter this fragility, encoding methods involving explicit real-time feedback are being developed. Two approaches dominate: measurement-based feedback (correction via classical electronics) and reservoir engineering (autonomous in situ sub-systems evacuating entropy). These developments span all physical platforms — from ions, neutral atoms and superconducting circuits to spin qubits and quantum photonics.
Building on the success of its 2011 and 2019 previous editions, this 2027 school on engineered quantum systems will cover the latest theoretical and experimental developments across all major platforms, with a focus on adaptive measurements and dissipation engineering.
Scientific Focus
Physical Platforms
Superconducting circuits, neutral atoms, spin qubits, trapped ions, and quantum photonics — comparative approaches across leading implementations.
Adaptive Measurements
Measurement-based feedback and squeezing for quantum sensing, weak measurements, and quantum trajectories in real-time control.
Dissipation Engineering
Reservoir engineering, autonomous quantum error correction, parametric devices, and non-reciprocal quantum-limited amplification.
Quantum Error Correction
Protected qubits, topological defects in error correction codes, fault-tolerant architectures, and tensor network methods.
