While Quantum Hardware I is focused on teaching underpinning theoretical tools, Quantum Hardware II will give you an overview of the experimental state-of-the-art. Read more Quantum Hardware 2 – Experimental State of the Artīy Wolfgang Tittel and Lieven Vandersypen The material will be taught using example systems such as spin qubits (quantum dots or NV centers), superconducting, Majorana or trapped-ion qubits.
Quantum Hardware I is focused on teaching theoretical physics concepts for understanding this Hamiltonian engineering challenge in various quantum hardware platforms. The key challenge is to control, couple, transmit and read out the fragile state of quantum systems with great precision, and in a technologically viable way. Quantum hardware is what turns the novel concepts of quantum computation and communication into reality. Read more Quantum Hardware 1 – Theoretical Conceptsīy Barbara Terhal and Johannes Borregaard We will also teach you general quantum cryptographic techniques that can be used to design and analyse quantum protocols at large.
We will explain some of the most well-known quantum cryptographic protocols, such as quantum key distribution. Having learned the fundamentals, you will now discover how quantum communication can be used to solve cryptographic problems. Read more Quantum Communication and Cryptography You will learn how properties of quantum information can be applied to construct some of the most well-known quantum algorithms, and the basics of quantum error correction. You will also learn about quantum entanglement, as well as quantum teleportation. In this class, we will teach you the fundamentals of qubits, quantum gates and measurements. In addition, there is also a course on a special topic in quantum technology. Besides the four QuTech quantum courses, you will take a number of classes in applied physics, electrical engineering and computer science to give you a broad basis.
QUANTUM ERROR CORRECTION COURSE U OF A SERIES
The QuTech Academy programme starts in September with four courses, the first one in the series being ‘Fundamentals of Quantum Information’. QuTech Academy offers master courses at TU Delft for students with a background in Applied Physics, Electrical Engineering, Computer Science, Mathematics and Embedded Systems. In the following example we have 6 qubits Q0,Q1,Q3,Q5,Q7,Q10.Are you an ambitious student with the desire to make a contribution to this exciting field of science? Join us in creating the quantum future, together with world-leading scientists working in state-of-the-art facilities. More precisely, a QV circuit with depth $d$ and width $m$, is a sequence $U = U^$, acting on qubits $a$ and $b$, from the Haar measure on $SU(4)$. When the circuit width $m$ is odd, one of the qubits is idle in each layer. Therefore, a model circuit consists of $d$ layers of random permutations of the qubit labels, followed by random two-qubit gates (from $SU(4)$). It is well-known that quantum algorithms can be expressed as polynomial-sized quantum circuits built from two-qubit unitary gates. Quantum Simulation as a Search AlgorithmĮstimating Pi Using Quantum Phase Estimation Algorithm Grover's search with an unknown number of solutions Investigating Quantum Hardware Using Microwave PulsesĮxploring the Jaynes-Cummings Hamiltonian with Qiskit Pulse Introduction to Quantum Error Correction using Repetition Codes Investigating Quantum Hardware Using Quantum Circuits Solving the Travelling Salesman Problem using Phase Estimation Quantum Edge Detection - QHED Algorithm on Small and Large Images Quantum Image Processing - FRQI and NEQR Image Representations Implementations of Recent Quantum Algorithms Hybrid quantum-classical Neural Networks with PyTorch and Qiskit Solving Satisfiability Problems using Grover's Algorithm Solving combinatorial optimization problems using QAOA Solving Linear Systems of Equations using HHL Classical Computation on a Quantum Computer
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