Quantum algorithms and quantum control have traditionally evolved as distinct areas of quantum information science, yet their increasing interplay is becoming central to the future of quantum computing. Quantum algorithms define computational primitives and complexity advantages, while quantum control determines how these operations can be realized efficiently and robustly on physical hardware. At the same time, both fields are deeply connected to many-body physics, non-equilibrium dynamics, quantum error correction, and quantum matter.

Recent advances in quantum hardware, including high-fidelity control, mid-circuit measurement and feedforward, engineered dissipation, and hybrid analog-digital architectures, are creating new opportunities to integrate algorithmic and control-based approaches. Key questions include how physical constraints shape algorithm design, how control techniques can reduce computational overhead, how measurement and feedback can serve as computational resources, and how fault-tolerant protocols can be adapted to realistic hardware.

This conference will bring together students, postdocs, and researchers from quantum algorithms, quantum control, fault-tolerant quantum computing, many-body physics, and experimental quantum platforms to explore these emerging connections. Topics will include quantum signal processing, control-enhanced algorithms, measurement-based computation, algorithm-aware error correction, non-equilibrium quantum dynamics, and the relationship between quantum information and quantum matter. The goal is to identify unifying principles that connect quantum control, computation, and many-body physics, while fostering new collaborations across these traditionally separate communities.