Basic questions about QM computations

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In summary, we discussed calculating expectation values for an arbitrary Q, even when \psi is not an eigenfunction of Q. We also explored calculating \phi(k) for a piecewise wavefunction and determining the coefficients for the time-dependent part of the Schrodinger equation.
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1. How can we calculate expectation values of an arbitrary [tex]Q[/tex], even if [tex]\psi[/tex] is not an eigenfunction of [tex]Q[/tex]?

2. (Fourier transform related) Suppose I have piecewise wavefunction. [tex]\psi_{I}[/tex] at [tex](-\infty,-L)[/tex], [tex]\psi_{II}[/tex] at [tex](-L,+L)[/tex] and [tex]\psi_{III}[/tex] at [tex](L,+\infty)[/tex]. I can compute entire [tex]\phi(k)[/tex] by taking the Fourier transform's integral from [tex]-\infty[/tex] to [tex]+\infty[/tex]. But what if I try to calculate [tex]\phi(k)[/tex] only between [tex](-L,L)[/tex]? Is it [tex]\phi_{II}(k) = \int_{-L}^L \psi(x) e^{ikx}dx[/tex]?

3. After I solved the time-independent SE, I get a series of solutions. I plug the time dependent part after I find [tex]E_n[/tex]s, and [tex]\Psi(x,t) = \sum c_n \psi(x)e^{-i E_n t/\hbar}[/tex], where [tex]\sum c_n = 1[/tex] But how on Earth do I get [tex]c_n[/tex]. Is there a realistic example (i.e., I'm not talking about examples "let's say [tex]c_0 = 0.3[/tex] and [tex]c_2 = 0.7[/tex], calculate bla bla bla") where [tex]c_n[/tex]s are computed by us?

Thanks in advance!
 
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3. The coefficients are computed from the normalization condition for the wave-function. The typical examples are the H-atom amd the 1-dim harmonic oscillator.

2. Yes.

1. Expand [itex] \psi [/itex] in terms of (possibly generalized) eigenfunctions of Q.

Daniel.
 
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1. The expectation value of an operator Q can be calculated using the formula <Q>=<psi|Q|psi>, where |psi> is the wavefunction and Q is the operator. This formula holds even if the wavefunction is not an eigenfunction of Q. In this case, the wavefunction can be expressed as a linear combination of eigenfunctions of Q and the expectation value can be calculated by taking the sum of the expectation values for each eigenfunction with their respective coefficients.

2. Yes, you are correct in your calculation for \phi_{II}(k). The Fourier transform can be used to calculate the wavefunction in any region, including between (-L,L).

3. The coefficients c_n represent the probability amplitudes for each eigenfunction in the wavefunction. They can be calculated by solving the time-independent Schrodinger equation and applying normalization conditions, such as the sum of the probabilities equaling 1. A realistic example would be the calculation of the coefficients for a particle in a one-dimensional infinite square well potential. The coefficients can be found by solving the Schrodinger equation and applying normalization conditions, and the resulting wavefunction will have a finite number of non-zero coefficients.
 

FAQ: Basic questions about QM computations

What is quantum mechanics?

Quantum mechanics is a branch of physics that studies the behavior of particles on a microscopic scale, such as atoms and subatomic particles. It explains how these particles interact with each other and with energy, and has led to many technological advancements, such as transistors and lasers.

What is a quantum computer?

A quantum computer is a type of computer that uses the principles of quantum mechanics to process and store information. Unlike classical computers, which use bits to represent data, quantum computers use quantum bits or qubits, which can exist in multiple states at the same time. This allows them to perform certain calculations much faster than classical computers.

How are quantum computations different from classical computations?

In classical computing, data is represented by bits that can have a value of either 0 or 1. In quantum computing, data is represented by qubits, which can exist in multiple states simultaneously. This allows quantum computers to perform certain calculations much faster than classical computers.

What are some potential applications of quantum computations?

Quantum computers have the potential to greatly improve the efficiency of many computational tasks, such as cryptography, optimization, and simulation of quantum systems. They could also lead to advances in fields such as drug development, weather forecasting, and artificial intelligence.

What are the challenges facing quantum computations?

One major challenge is the issue of decoherence, which causes the fragile quantum states to collapse and lose their information. Researchers are also working to develop more stable and reliable qubits, as well as improve the scalability of quantum computing systems.

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