Quantum coarse-grained entropy and thermodynamics

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Rises in closed quantum systems. • to the correct thermodynamic value. • Future: Gibbs paradox, information engines, work extraction, fluctuation theorems…
Quantum coarse-grained entropy and thermodynamics Dominik Šafránek in collaboration with

Joshua M. Deutsch and Anthony Aguirre

University of California Santa Cruz

Overview • Why thermodynamics of closed quantum systems? • Classical systems and Boltzmann entropy • Quantum generalization = Observational entropy • Does it work? …connection to real thermodynamics

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Why? • Imagine a bunch of particles in a box.

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Why? • Imagine a bunch of particles in a box. • In a bigger box

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Why? • Imagine a bunch of particles in a box. • In a bigger box • Let’s put a hole in there

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Why? • Imagine a bunch of particles in a box. • In a bigger box • Let’s put a hole in there • After a while…

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Why? • Imagine a bunch of particles in a box. • In a bigger box • Let’s put a hole in there • After a while… • Described by Boltzmann entropy

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Why? • Imagine a bunch of particles in a box. • In a bigger box • Let’s put a hole in there • After a while… • Described by Boltzmann entropy • No analog quantum description!

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Why? • Imagine a bunch of particles in a box. • In a bigger box • Let’s put a hole in there • After a while… • Described by Boltzmann entropy • No analog quantum description! • Some approaches • Entanglement entropy • Diagonal entropy …do not quite work

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Boltzmann entropy • Microstate (x,p) • In a macrostate of volume Vi • Attach Boltzmann entropy

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Quantum physics recap • Hilbert space “system” • States of the system

• Vectors in Hilbert space “wave-function” • More generally, linear operators “density matrix”

x

• Direct sum of Hilbert spaces “partitioning” • Example: 3-dim space R3 =H1 + H2 • x-y plane, H1=span{(1,0,0),(0,1,0)} • z axis, H2=span{(0,0,1)}

y z

• Projectors “measurement basis”

• Example: projectors onto x-y plane (rank-2) or z axis (rank-1) 11

Observational entropy • Take projectors onto the subspaces from direct sum • Volume of the subspace

• Define Observational entropy with coarse-graining Probability of being in a macrostate

• In other words

Mean measurement outcome uncertainty

Volume of a macrostate

Mean uncertainty in a macrostate 12

Properties • For a state in a subspace (equivalent of Boltzmann entropy) • Bounded • Extensive on separable states for

,

• Always rises for a state starting in a macrostate (for a short time) • Tends to rise otherwise • Measures quantum equivalent of “spilling coffee on the table” 13

Visualization • Evolution starting in Macrostate 1 Point where probabilities are proportional to volumes of macrostates

Macrostate 2 (dim=3) Macrostate 3 (dim=8) Starting point

Macrostate 1 (dim=1) 14

Multiple coarse-grainings • Multiple sets of projectors (even non-commuting)

(Ordered) probability of being in a macrostate

• Again bounded!

(Ordered) volume of a macrostate

• Alternative expression: 15

Does it work? What about thermodynamics? • Two types of coarse-grainings work equally well • Factorized Observational entropy (FOE): • Measure local energies

H^(1): energy of the left box H^(2): energy of the right box

• S_xE

• Measure coarse-grained position, then energy.

X: E:

4 Particles on the left

0 Particles on the right

total energy

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Simulations: 1-dim fermionic chain • Hamiltonian between sites k and l Nearest-neighbor interaction Next-nearest-neighbor interaction (this part adds non-integrability)

• Starting in a state confined in the left box 17

Time evolution • non-integrable system • (FOE and S_xE)

• integrable system • (FOE)

Canonical entropy

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Thermality, and long-time convergence • non-integrable system • FOE (S_xE almost identical) • Red curve: long-time limit states Canonical entropy FOE (for various states) Micro-canonical entropy

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Thermality, and long-time convergence • Same curves: S_xE and FOE comparison • Red S_xE • Blue FOE • Green microcanonical

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Thermality, and long-time convergence • integrable system

• blue dots=S_xE • Green circles=FOE

• As expected, doesn’t look thermal

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Conclusions Observational entropy = quantum generalization of Boltzmann entropy cool properties Inherently quantum (superposition, non-commutativity) Depends on observer’s abilities/ignorance Rises in closed quantum systems to the correct thermodynamic value Future: Gibbs paradox, information engines, work extraction, fluctuation theorems… • arXiv:1707.09722 [quant-ph] • • • • • • •

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