Quantum physics has many applications today, many techniques have been developed and are now used in various fields. However, going back to the foundations, there are many interesting and still unresolved questions. This week, Nicolas Gisin will talk about the single photon, how to define it and how far it can travel if you want…
Author: Noah Tajwar
Current production FinFET and FDSOI CMOS technologies are suitable for large-scale, high-density quantum processor (QP) and readout control electronics. Due to layout manufacturability restrictions, that limit the types of qubit arrays and gates that can be implemented, the top gate pitch is too large for strong tunnel coupling between adjacent quantum dots (QDs), limiting the…
A major discovery by Hawking was that the interplay between general relativity and quantum theory leads to the prediction that black holes must radiate. In Hawking’s original calculation however, the black hole radiation was found to be of thermal character, thus leaving behind a mixed state describing the radiation as soon as the black hole…
While the principle of superposition in quantum physics is routinely validated for microscopic systems, it is still unclear why we do not observe macroscopic objects to be in superpositions of states that can be distinguished by some classical property. I will present our experiments, that harness the resonant Jaynes-Cummings interaction between a high overtone resonator…
One of the (many) challenges in scalable quantum computing with trapped ions is the transport of the ions. The transport of the ions needs to be done while avoiding the arch-enemy of ion-trappers: motional heating. In my talk we’ll discuss a recent paper by Sutherland et al. that explores a new protocol of ion transport,…
Machine-learning techniques that originated in several domains of “Artificial Intelligence”, are increasingly being applied to tackle problems in physical sciences. Applications range from experimental fields, where ML has been leveraged to more efficiently carry out measurements, inhibit noise or design structures, to computational and theoretical physics. In particular, a recent breakthrough showed that several numerical…
Scaling up trapped ion quantum information processors requires high fidelity control over many ions. One way of achieving such control is by using a trap with multiple zones, each zone holding few ions which can be manipulated with high fidelity. Operations between the ions are achieved by means of transporting the ions across zones. Although…
Quantum computing crucially relies on the ability to efficiently characterize the quantum states output by quantum hardware. Conventional methods which probe these states through direct measurements and classically computed correlations become computationally expensive when increasing the system size. Quantum neural networks tailored to recognize specific features of quantum states by combining unitary operations, measurements and…
An analogue gravity model is a physical system in flat spacetime with wave propagation behaving like the propagation of a scalar field of mass m in some curved spacetime. In the first part, we review analogue gravity models with wave propagation governed by a Lagrangian. In this context we propose a novel and more pedagogical…
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Quantum Knitting for Dummies
Multidimensional tensor-network states, such as cluster states, are a key resource for quantum communication and measurement-based quantum computing. Recently, cluster states have been generated both in the microwave and optical regime but the generation of large-scale 2D cluster states in discrete-variable systems remains challenging. We present a superconducting device to enable the generation of two-dimensional…