Strongly correlated electrons in a small Hubbard cluster
The goal is to understand how electron repulsion suppresses charge
fluctuations and produces magnetic correlations. Exact diagonalization of
a two-site model and a small chain, assisted by
SNEG, provides a concrete
introduction to the physics underlying Mott insulators.
From the Cooper-pair box to the transmon
The goal is to explore how charging energy and Josephson tunnelling determine
the quantum states of a superconducting circuit. Numerical diagonalization
can show how the spectrum, charge sensitivity, and transition strengths
change between the Cooper-pair-box and transmon regimes.
Reference.
Solving a quantum impurity one energy scale at a time
The goal is to understand the central idea of Wilson’s numerical
renormalization group: resolving successively lower energy scales through
iterative diagonalization. The
NRG_SIAM examples
provide a practical route to studying energy-level flows and the accuracy
of numerical approximations.
Automating quantum calculations with symbolic algebra
The goal is to learn how computers manipulate fermionic, bosonic, and spin
operators using SNEG.
A focused project could automate the derivation of an effective spin
Hamiltonian and compare its predictions with exact diagonalization of the
original electronic model.
Finding signals, drift, and noise in experimental data
The goal is to learn how spectral analysis, autocorrelation, and Allan
deviation distinguish periodic signals, random fluctuations, and slow
drift. Using TSRhythms
with simulated or measured data, one can determine when averaging improves
a measurement and when drift limits its precision.
Quantum interference in coupled quantum dots
The goal is to investigate how interference between electron paths produces
asymmetric resonances and can suppress electrical conductance. A simple
two-dot model provides an accessible starting point, with electron
interactions as a possible extension.
Reference.
Why does the resistivity of a bad metal keep increasing?
The goal is to investigate what controls electrical resistivity when the
usual picture of long-lived electron quasiparticles becomes unreliable.
Using simple spectral functions and the
bubble code, one can
separate the effects of spectral broadening, finite bandwidth, and thermal
occupation.
From a single magnetic impurity to a correlated material
The goal is to understand how dynamical mean-field theory represents a
lattice through an impurity embedded in a self-consistent environment.
Using DMFT_NRG_KLM,
a focused numerical study can follow how changing electron filling modifies
the spectrum of a Kondo lattice.
Creating atomic jets by shaking a quantum gas
The goal is to explore how periodic modulation of atomic interactions ejects
matter-wave jets from a soliton. A one-dimensional simulation can determine
how the jet velocities and emission threshold depend on modulation
frequency and amplitude.
Reference.
Programming precise pulse sequences for quantum experiments
The goal is to understand how an FPGA coordinates digital signals for
experimental control. Using
PulsePins, a project
could implement a sequence for triggering instruments or controlling
external devices, then measure its timing accuracy and synchronization.
Fractional powers emerging from a superconducting gap edge
The goal is to understand why an energy shift can scale as a fractional
power of coupling strength, rather than following ordinary perturbation
theory. A discrete level coupled to a continuum with a singular density
of states provides a simple model for deriving and testing this behaviour.
Reference.
Electron tunnelling that exchanges energy with its environment
The goal is to investigate how an electromagnetic environment changes
tunnelling by absorbing or supplying energy. Starting with a junction
coupled to one oscillator, one can calculate photon-assisted features in
the current and examine how they evolve with temperature.
Reference.
When the Hall coefficient stops counting electrons
The goal is to examine how Fermi-surface geometry changes the relation
between Hall response and carrier density. A two-dimensional tight-binding
band allows one to calculate the Hall coefficient across a change in
Fermi-surface topology and compare it with the actual electron
concentration.
Encoding a quantum impurity on qubits
The goal is to map a small fermionic impurity Hamiltonian onto qubit
operators and understand where fermionic exchange signs enter the
encoding. A classical quantum-circuit simulator can then test the mapped
model and estimate the resources needed for its time evolution.
Freezing tunnelling with a periodic drive
The goal is to investigate how periodic modulation can suppress tunnelling
even though the two sites remain coupled. A driven two-site model allows
direct time evolution to be compared with an effective Floquet Hamiltonian
and reveals where the high-frequency approximation fails.
Sound horizons in a flowing quantum gas
The goal is to explore what happens to a small density disturbance when a
condensate flows through a region faster than its local sound speed.
Extending a one-dimensional
GPE Ljubljana
simulation can reveal wave blocking and mode conversion at an acoustic
horizon.
Direct microwave sampling and the useful side of aliasing
The goal is to understand how a microwave signal can be digitized through
deliberate bandpass sampling and digital frequency conversion. A simulated
receiver can establish the roles of Nyquist-zone selection, filtering,
and clock jitter, with a possible RFSoC implementation.