We present a new decoder for the surface code, which combines the accuracy of the tensor-network decoders with the efficiency and parallelism of the belief-propagation algorithm.
Refreshments at 14:30
In this talk, we explore the use of quantum computing and machine learning to improve performance of computational fluid dynamics calculations.
The standard security approach in communications aims to prevent a malicious eavesdropper from retrieving the information that is transmitted to the legitimate receiver.
However, privacy and safety concerns may require an even stronger security criterion.
Adaptive quantum circuits, in which gates are conditioned on mid-circuit measurement results, are emerging as enables for expanding the capabilities of NISQ processors beyond what is possible today.
We consider the relation between the state of a macroscopic spin, such as an ensemble of atoms, and the radiation it emits. We introduce a new family of collective spin states, defined as the asymptotic eigenstates of the SU(2) lowering operator.
Large-scale quantum computing will likely require quantum computers with very low error rates, potentially achievable with quantum error correction (QEC). In QEC, errors are suppressed by nonlocally encoding information using logical qubits.
Cryptography offers many solutions for people who wish to communicate securely - from encrypting messages to authenticating them, from jointly computing a function to jointly holding on to a secret (and many more).
Quantum states of light are central to photonic quantum technologies, and their measurement is therefore very important. But quantum states are famous for being fragile.
New experimental techniques allows now to achieve new regimes in time, energy as well as novel symmetries. Temporally, we have developed a, XUV/attosecond heterodyne interferometer that allows temporal measurements with a precision of 3 zeptosecond and a controllable temporal control of 80zs.