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Noise & Error Correction

Decoherence & Noise

Why real qubits don't behave like the clean math you just learned

By the end of this topic you'll be able to

Explain what decoherence is physically, and why isolation is so hard
Distinguish T1 (relaxation) and T2 (dephasing) noise
Explain why noise is exactly why quantum error correction exists

Every topic up to this point has quietly assumed a qubit is perfectly isolated, evolving under exactly the unitary intended and nothing else. Preskill's Caltech lecture notes on error correction open by dispensing with that fiction immediately: a quantum computer will inevitably interact with its surroundings, and that interaction is what physicists call decoherence.

Unless decoherence can be successfully combated, Preskill writes, the computer is sure to fail — and, he adds, even perfect isolation from the environment would not save us, because quantum gates are unitary transformations chosen from a continuum of possible values, and no physical control system can implement any continuous parameter with perfect accuracy.

In density-matrix language, decoherence is a pure state drifting into a mixed one: phase information, or even the qubit's basic 0/1 identity, leaks into the surrounding environment in a way that cannot practically be tracked or undone.

Two standard timescales quantify how fast this happens in the lab. T1, the relaxation time, measures how long a qubit prepared in |1⟩ takes to decay back toward |0⟩ — an energy-loss process. T2, the dephasing time, measures how long a superposition retains its relative phase before it randomizes, and satisfies T2 ≤ 2·T1 always.

Noise doesn't only cause slow decay between operations — it also causes gate errors, since any effective strategy to prevent errors must protect against small unitary errors in a circuit as well as against decoherence, in Preskill's phrasing. Every real gate implements only an imperfect approximation of its intended unitary, off by some small, unavoidable amount.

Run enough such gates in sequence, as any useful algorithm requires, and these small errors compound relentlessly, eventually overwhelming the computation entirely — unless something actively intervenes.

That intervention is the subject of the rest of this track. Quantum error correction does not eliminate physical noise; it suppresses noise's effect on the logical information being computed, provided the physical error rate stays below a critical threshold.

Try It Yourself

Worked Example

A qubit has T1 = 50 μs. If it's prepared in |1⟩ and left alone, what's the probability it's still found in |1⟩ after 25 μs, using the standard exponential-decay model P(t) = e^{-t/T1}?

  1. 1Plug t=25 and T1=50 into the model: P(25) = e^{-25/50} = e^{-0.5}.
  2. 2e^{-0.5} ≈ 0.607.
  3. 3So there's about a 60.7% chance the qubit is still found in |1⟩, and about a 39.3% chance it has already relaxed to |0⟩, purely from energy relaxation over that 25 μs window — no gates applied, just idle time.
Answer

P(still |1⟩ at t=25μs) ≈ 0.607, or about 60.7% — illustrating why circuits need to run fast relative to T1: every microsecond of idle time between gates is another chance for this decay to occur.

Reference

T1 (relaxation time)Energy-loss timescale
T2 (dephasing time)Phase-coherence timescale
Gate fidelityHow closely a real gate matches its intended ideal unitary
DecoherenceUnwanted coupling to an uncontrolled environment

Quick Check

What does T2 (dephasing time) measure?

What is decoherence, in density-matrix terms?