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QC-Hardware-How-To

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Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American quantum hardware engineer.


To download a copy of the full Experimental Quantum Hardware Engineering PDF I wrote, click here.

To download a copy of the Nanofabrication Technology for Quantum Chips PDF I wrote, click here.

An extended version of the video playlists is available: Quantum Hardware Engineering

6 Critical Quantum Hardware Videos – Explanation of the Physical System:
Inside a Quantum Computer! with Andrea Morello
UNSW Quantum Computer Lab Visit [with Andrea Morello]
Inside the IBM Quantum Lab with Olivia Lanes
Build Your Own Quantum Computer @ Home, Yann Allain
Superconducting Qubits for Analogue Quantum Simulation, Gerhard Kirchmair
Quantum Control Technologies: Pulses for Quantum Control, Prof. Christian Kurtsiefer
12 Quantum Hardware Videos on Qubit Control/ Readout Equipment
High Speed Qubit Control, Tabor Electronics
Characterization to Resonator Measurements, Zurich Instruments
What is a Mixer? Modern RF & Microwave Mixers Explained, Marki Microwave
RF Isolator Teardown & Explanation
Advanced Microwave Topics for Quantum Physicists, Tabor Electronics
Cryogenics Electronics, Quantum Technologies Innovation Network & Innovate UK Business Connect
Introduction to TR Multicoax Series, Amphenol Ardent Concepts
Quantum Applications in the Bluefors Measurement System, Bluefors
Hands-on Superconducting Qubit Characterization, Zurich Instruments
Qubit Control and Measurement Solutions, Zurich Instruments
Interfacing Superconducting Quantum Circuits with an RF Photonic Link, Qiskit
Silicon Photonic Quantum Computing – Towards Large-Scale Systems, PsiQuantum
Click Below To Access School of Quantum - QuTech Academy
School of Quantum
Click Below To Access IQM Academy - IQM
IQM Academy
Click Below To Access Quantum Chip Gallery - TU Delft
Quantum Integrated Circuits
More from the Chip Gallery

Shortcut into Quantum Hardware Engineering (Quantum Hardware Education Insights by Onri)

Quantum Hardware Topics

Insights/Topics
Start with a 3D modeling & linguistics framework, may involve a custom keywords glossary.
Know that this specialty involves learning to probe something without necessarily having to physically contact its surface. This is what spectroscopy or "scatterometry" is about.
Typically, topics covered under quantum hardware engineering are combinations of materials science & engineering, quantum metrology, quantum transport, quantum optics, & quantum electronic design automation.
Know how electronic filters are configured or set up.
Know how electronic filters are designed & what they look like.
Know what components various filters are made of.
Know the difference between passive & active filters.
Know the difference between optical, microwave, & radio frequency (RF) isolators, circulators, & mixers.
Be aware of different room temperature & cryogenic amplifiers.
Know what room temperature & cryogenic amplifiers are made of.
Know the different types/hierarchy of amplifier noise (thermal, shot, external, quantum).
Know how a signal curve or response is manipulated.
Know how signals are triggered.
Know what impedance matching is (how many ohms is required).
Know how a Smith chart works.
Know the many purposes of a resistor (there's a whole list).
Know what multiphase power means.
Know what a resonator & resonator cavity is.
Know what vector network & spectrum analyzers, arbitrary waveform generators, & signal generators do.
Know what an oscillator circuit does (voltage fluctuation or AC).
Know what an inverter circuit does (DC to AC conversion).
Know what a rectifier circuit does (AC to DC conversion).
Know what high-pass, low-pass, band-pass, band-stop filter circuits/crossover networks do (signal filtering).
Know what a comparator circuit does (threshold indicator).
Know what a few basic logic gates can do (calculator).
Know what a PID [closed-loop] controller does (electronic-based self-balancing).
Know what a feed forward [open-loop] controller does (electronic-based self-balancing alternative).
Bonus: Know how to build a simple electronic audio amplifier device (it has many components similar to quantum computing systems).

Common Coding Topics for Hardware Engineers

Coding Topics
Library installation
Syntax & commenting
Curve fitting, direct parameterization, & mesh parameterization
Automation scripting
Data management & data structures
Parallel processing & accelerated computing techniques
Interpolation & extrapolation
Linear regression
Signal processing
Noise plots
Manual debugging

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