← Back to article

Equation 2 · Variational Evolution: How Quantum Computers Learn Their Answers

What does this equation mean?

E(θ)=⟨ψ(θ)∣H∣ψ(θ)⟩.E(\theta) = \langle \psi(\theta) \mid H \mid \psi(\theta) \rangle .

Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.

Inputs and operationslangle psi(θ) mid H mid psi(θ) rangle
Result or conditionE(θ)
How to read the two sides of this formula. Follow the article passage for the meaning of each quantity.

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

Read it piece by piece

EE

Symbol E

E is part of the quantity the equation computes from the expression on the right.

Understand this part →

θ\theta

Symbol θ

θ is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.

Understand this part →

ψ\psi

Symbol psi

psi is an input to the expression that computes the quantity on the left.

Understand this part →

HH

Symbol H

H is an input to the expression that computes the quantity on the left.

Understand this part →

=

=

The expressions on both sides represent the same quantity under the stated assumptions.

Understand this part →

See an illustrated explanation →

How to interpret it

Read it with the definitions, units, and assumptions supplied by the article.

What the article says around this equation

This is the variational algorithm, and by 2026 it is not one technique among several — it is close to the entire working repertoire of near-term quantum hardware. The archetype is the variational quantum eigensolver (VQE), first demonstrated in 2014 on a photonic quantum processor, where Alberto Peruzzo and coauthors used the loop to compute the ground-state molecular energy of the helium hydride cation, HeH+, to within chemical accuracy [ 1 ] . The demonstration used only a small photonic chip, but its structural claim was the important part: instead of demanding the long coherent evolution that quantum phase estimation requires, VQE splits the work. The quantum processor’s only job is to…
Read the full surrounding passage
This is the variational algorithm, and by 2026 it is not one technique among several — it is close to the entire working repertoire of near-term quantum hardware. The archetype is the variational quantum eigensolver (VQE), first demonstrated in 2014 on a photonic quantum processor, where Alberto Peruzzo and coauthors used the loop to compute the ground-state molecular energy of the helium hydride cation, HeH+, to within chemical accuracy [ 1 ] . The demonstration used only a small photonic chip, but its structural claim was the important part: instead of demanding the long coherent evolution that quantum phase estimation requires, VQE splits the work. The quantum processor’s only job is to prepare a trial state, described by a vector of adjustable parameters θ\theta , and report the expectation value of the molecule’s Hamiltonian in that state, E(θ)=⟨ψ(θ)∣H∣ψ(θ)⟩E(\theta) = \langle \psi(\theta) \mid H \mid \psi(\theta) \rangle . Everything else — deciding whether that energy is good, and deciding what θ\theta to try next — happens on an ordinary classical processor. The quantum device answers one question, over and over: how good was this guess. The classical processor never touches a qubit; it only ever sees numbers.

Read the equation in its article →

Sources cited in the surrounding passage

These citations give research context. Read each source to check which claims it supports.

Return to Variational Evolution: How Quantum Computers Learn Their Answers

See this formula across 1 published context →

Browse the mathematical compendium →