Reversible computing

Formal sciences
Theoretical computer science
Theory of computation
Quantum computing

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Spin-Wave Computing: Philipp Pirro Lecture

Explores spin-wave computing, magnonic nanostructures, and wave-based computing applications, emphasizing low-power, nonlinear computing potential.

Maximum Efficiency Theorem

Explains the second law of thermodynamics and the maximum efficiency theorem.

First Principle of Thermodynamics

Explains the conservation of energy in thermodynamic systems during heat and work exchange processes.

Quantum Computing: Fundamentals and Applications

Covers the fundamentals of quantum computing, including qubit realization, scalable quantum computers, quantum communication, and quantum algorithms.

Quantum Computing Fundamentals

Covers the basics of quantum computing, including qubits, gates, and measurement processes.

Entropy: Second Law of Thermodynamics

Discusses reversible and irreversible transformations based on entropy as a state function.

Efficiency and Yield

Explores efficiency and yield in the Carnot cycle, including thermal machines and engine cycles, with practical exercises on temperature calculations.

Hybrid Quantum Classical Algorithms: Introduction

Introduces hybrid quantum-classical algorithms, discussing the integration of quantum and classical computing techniques.

Quantum Information and Computation

Covers quantum information, computation, advantages, challenges, error correction, and quantum algorithms.

Quantum Computing Paradigm

Introduces the paradigm of digital quantum computing, covering qubits, quantum logic gates, state preparation, and error correction.