Quantum computing and physics
Quantum mechanics combines linear algebra, calculus, complex numbers and probability: wave functions, the Schrödinger equation, Fourier duality and unitary evolution.
4 topics
Linear algebra + Calculus + Complex numbers + Probability = Quantum mechanics
In wave mechanics the state is a complex function , its evolution a partial differential equation, and probabilities are integrals of . Quantum computing works in finite dimensions, where calculus recedes and linear algebra takes over — see Math of Quantum for that side.
Topics
Wave function
A complex-valued function whose squared modulus is a probability density (Born rule): the probability of finding the particle in is , and normalization requires .
Schrödinger equation
The PDE for the time evolution of a wave function: , with the Hamiltonian built from the Laplacian (kinetic energy) and a potential. Its operators — derivatives acting on functions — are where calculus and linear algebra meet; in quantum computing the same equation becomes .
Uncertainty principle
Position and momentum wave functions are Fourier transforms of each other, and a function and its transform cannot both be narrow: . The same inequality limits time–frequency resolution in signal processing (spectrograms, radar).
Quantum computing
Computing with qubits: states are unit vectors of complex amplitudes, gates are unitary matrices (exponentials ), measurement samples with probabilities . Shor's algorithm relies on a quantum Fourier transform. Mostly linear algebra; calculus enters through complex exponentials, Fourier analysis and the physics of the hardware.