6.5.13 · D3Advanced & Emerging Architectures

Worked examples — Quantum computing hardware basics

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We only reuse tools built in the parent note plus the Boltzmann Distribution. Nothing new is assumed.


The scenario matrix

Every worked example below is tagged with the cell it fills. The columns are the quantity we compute; the rows are the kind of input.

Input class Thermal ratio Coherence Gate budget / readout
Cold / large gap (nice regime) Ex 1 Ex 4 Ex 6
Hot / small gap (formula still fine but scary) Ex 2 Ex 7 (word problem)
Zero / degenerate input (, ) Ex 3 Ex 5
Limiting / edge (, ceiling) Ex 2, Ex 3 Ex 5 Ex 8 (exam twist)

A conversion trick used everywhere below. Instead of computing in joules, we form the dimensionless exponent

Why this step? Both and are energies (joules); their ratio is a pure number. Feeding a pure number into is safe — no units left to mismatch. If is large the qubit is cold-and-happy; if is near zero it is hot-and-scrambled. So is the whole story.


Thermal scenarios (the Boltzmann machine)


Coherence scenarios ()

Figure — Quantum computing hardware basics

The figure shows the ceiling relationship: (chalk-blue bar) is the sum of the relaxation share (yellow) and the pure-dephasing share (pink). Because rates add and , the blue bar can never be shorter than the yellow one — which is exactly the statement .


Gate-budget & readout scenarios


Recall One-line recap of each cell

Cold thermal :: , (Ex 1). Hot thermal :: , ratio , scrambled (Ex 2). Zero-input thermal :: ; gap (Ex 3). Coherence solve :: (Ex 4). Coherence edges :: ; (Ex 5). Gate budget :: error , depth (Ex 6). Word problem :: warm+soft gap can fail initialization (Ex 7). Exam twist :: is impossible (Ex 8).

Related building blocks: Boltzmann Distribution, Bloch Sphere, Superposition and Entanglement, Classical Bits vs Qubits, Unitary Operators and Reversible Computing.