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Prof. Dr. techn. Stefan Filipp

Phone
+49 89 289-14201
Room
E-Mail
stefan.filipp@tum.de
Links
Page in TUMonline
Group
Technical Physics
Job Title
Professorship on Technical Physics

Courses and Dates

Title and Module Assignment
ArtSWSLecturer(s)Dates
Condensed Matter Physics 2
Assigned to modules:
VO 4 Filipp, S. Gross, R. Mon, 10:00–11:30
Mon, 12:15–14:00
Tue, 08:30–10:00
Tue, 12:00–14:00
Quantum Computing with Superconducting Qubits 2: Advanced Topics
eLearning course
Assigned to modules:
VO 2 Filipp, S. Fri, 09:00–11:00, virtuell
Quantum Entrepreneurship Laboratory (PH8128, IN2107)
eLearning course
Assigned to modules:
HS 2 Filipp, S. Mendl, C. Pollmann, F. singular or moved dates
Superconducting Quantum Circuits
course documents virtual lecture hall
Assigned to modules:
PS 2 Deppe, F. Filipp, S. Gross, R.
Assisstants: Fedorov, K.Marx, A.
Tue, 14:30–16:00, virtuell
Exercise to Quantum Computing with Superconducting Qubits 2: Advanced Topics
eLearning course
Assigned to modules:
UE 2
Responsible/Coordination: Filipp, S.
dates in groups
Journal Club on Quantum Systems
Assigned to modules:
SE 2 Filipp, S. Tue, 14:30–17:00, virtuell
Revision Course to Quantum Entrepreneurship Laboratory
Assigned to modules:
RE 2
Responsible/Coordination: Filipp, S.
Walther-Meißner-Seminar on Topical Problems of Low Temperature Physics
current information
Assigned to modules:
SE 2 Filipp, S. Gross, R. Fri, 11:00–12:30, WMI 143
and singular or moved dates

Offered Bachelor’s or Master’s Theses Topics

Benchmarking and characterization of quantum devices
Benchmarking and characterization of quantum devices Identifying error sources and efficiently characterizing the properties of quantum operations acting on individual qubits, multiple qubits, or entire quantum processors is crucial to overcome coherence limitations of quantum computers. Different benchmarking techniques can be useful to isolate and identify sources of errors. In particular, different implementations of Randomized Benchmarking can provide insights into processes that limit qubit coherence times. In this project you will gain thorough understanding of the noise sensitivities of various benchmarking techniques and implement them in the experimental control stack. You will be able to use state-of-the-art control hardware with the ability to program quantum circuits using gate-based algorithms with on-device logic in order to achieve efficient control of quantum processors. Ideally, these techniques will be used to identify dominant noise sources and eliminate those using appropriate amendments to the microwave control setup.
suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Stefan Filipp
Design and Operation of a Multi-Input Quantum Perceptron
Quantum machine learning is a new area of research at the interface of classical machine learning and quantum computing. Advantages arising from the quantum implementation of a neural network are still unclear but an implementation and training of a small scale quantum network could shed some light on its usefulness. You will start by understanding the principle of adiabatic ramp neurons as implemented with superconducting qubits. You will then investigate possible implementation of a network using 2-3 multi-input neurons and design a training experiment to perform on such a device. This will involve the design and characterization of a multi-qubit chip device including numerical simulations that is optimized for multi-input version of the neuron. Ideally, you will measure the non-linear activation function of a quantum perceptron depending on the weights set by the ZZ coupling to the input neurons and train the network to classify quantum or classical input data.
suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Stefan Filipp
Fabrication of high-coherence superconducting qubits
Over the last two decades the coherence time of superconducting qubits, a leading platform in quantum computing, could be improved by five orders of magnitude from several nanoseconds up to hundreds of microseconds. However, for practical quantum computers further improvements of the qubits are required. In this project we will investigate different strategies to reproducibly fabricate Josephson junctions and junction arrays for different types of qubits. To go beyond the NISQ era, new fabrication techniques like surface passivation, post process treatments, optimal etching parameters and deposition conditions will be investigated to build highly coherent qubits with T1 times exceeding 100 µs. One line of research will focus on exploring the capability of operating superconducting qubits at higher microwave frequencies and the potential to overcome limits of current qubit technologies. New superconducting materials, such as rhenium, vanadium, indium, nitrides and other composite systems, will be employed that have a higher critical temperature than commonly used materials such as aluminum and niobium. Within this thesis, you will grow and optimize thin films of superconducting materials, design and fabricate high-frequency resonators and qubits, and characterize them at millikelvin temperatures with spectroscopic techniques. You will learn the process of superconducting circuit fabrication like photolithography, thin film deposition and reactive ion etching in our in-house cleanroom and you will learn how to control qubits with microwave pulses using an arbitrary waveform generator.
suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Stefan Filipp
Investigation of many-body couplers for superconducting qubits

High connectivity between qubits can lead to significant advantages when compiling quantum algorithm on real hardware. For example, in trapped ion quantum computing architectures multi-qubit entanglement is mediated by shared oscillator modes, allowing for all-to-all connectivity and long range interactions. In this project we aim to explore the coupling of multiple superconducting quantum circuits (qubits or resonators) via a shared coupling element. We investigate simultaneous couplings between multiple superconducting circuit elements by controlling the interaction strength and interaction time. The ideal outcome of this project is the demonstration of useful quantum operations, such as joint measurements, qubit reset or quantum operations on multiple qubits.

suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Stefan Filipp
Scaling and 3D integration of superconducting qubit devices
To build powerful quantum computers based on superconducting qubits, one has to face the challenge of a limited area on a planar chip to host an increasing number of qubits. Therefore, efforts to minimize the footprint per qubit and to provide scalable means to address and readout all qubits are key to further progress. The goal is to develop new fabrication and integration techniques such as superconducting air-bridges/crossover that add the third dimension to the usual 2D designs of quantum computers as well as through silicon vias (TSVs), small diameter holes through the silicon substrate that enable us to connect both sides of the chip as well as stacking several chips on top of each other. These additional degrees of freedom will enable us to implement advanced designs for qubits and resonators and increase the number of quantum circuits on a chip. During this project you will learn important nanofabrication techniques like photolithography, thin film deposition and reactive ion etching. You will also model and characterize superconducting quantum circuits.
suitable as
  • Master’s Thesis Condensed Matter Physics
Supervisor: Stefan Filipp
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