Papers
Topics
Authors
Recent
2000 character limit reached

Quantum Markov Semigroups

Updated 8 February 2026
  • Quantum Markov Semigroups are one-parameter families of completely positive, identity-preserving maps on operator algebras that generalize classical Markov dynamics.
  • They describe the irreversible evolution of open quantum systems, capturing phenomena such as decoherence, relaxation, and thermalization.
  • Their generators admit the GKSL form, underpinning spectral analysis and functional inequalities that reveal convergence rates and ergodic properties.

A quantum Markov semigroup (QMS) is a one-parameter family of completely positive, identity-preserving maps acting on a von Neumann (or CC^*-) algebra, generalizing classical Markov semigroups to the noncommutative (quantum) setting. QMSs model the reduced evolution of open quantum systems, including irreversible decoherence, relaxation, and thermalization. Their mathematical structure and physical interpretation are fundamentally linked to quantum stochastic calculus, operator algebras, noncommutative probability, and quantum statistical mechanics.

1. Formal Definition and Generator Structure

Let M\mathcal{M} be a (not necessarily finite-dimensional) von Neumann algebra with predual M\mathcal{M}_*. A quantum Markov semigroup (QMS) is a family (Tt)t0(T_t)_{t \ge 0} of normal, completely positive, unital maps Tt:MMT_t:\mathcal{M}\to\mathcal{M} satisfying

  • T0=idT_0 = \mathrm{id}
  • Ts+t=TsTtT_{s+t} = T_s \circ T_t for all s,t0s, t \geq 0
  • tTt(A)t \mapsto T_t(A) is σ\sigma-weakly continuous for each AMA \in \mathcal{M}
  • Tt(1)=1T_t(1) = 1 for all t0t \geq 0.

The generator L\mathcal{L} (when densely defined) is given by the strong limit

L(A)=limt0Tt(A)At\mathcal{L}(A) = \lim_{t \downarrow 0} \frac{T_t(A) - A}{t}

and, on a suitable dense *-subalgebra, it admits the Gorini–Kossakowski–Sudarshan–Lindblad (GKSL) form: L(A)=i[H,A]+j(VjAVj12{VjVj,A})\mathcal{L}(A) = i[H, A] + \sum_j \left(V_j^* A V_j - \tfrac12 \{V_j^* V_j, A\}\right) where H=HH = H^* is the "Hamiltonian" part and {Vj}\{V_j\} are bounded or (in infinite dimension) possibly unbounded "noise" operators (Dhahri et al., 8 Aug 2025, Androulakis et al., 2014).

In finite dimensions (Mn(C)M_n(\mathbb{C})), every uniformly continuous QMS generator is of this form, and the associated predual semigroup TtT_t^* acts on states (density matrices), evolving them according to L\mathcal{L}^*: L(ρ)=i[H,ρ]+j(VjρVj12{VjVj,ρ})\mathcal{L}^*(\rho) = -i[H, \rho] + \sum_j \left(V_j \rho V_j^* - \tfrac12\{V_j^* V_j, \rho\}\right) (Dhahri et al., 8 Aug 2025, Brasil et al., 2022, Fagnola et al., 2014).

2. Irreducibility, Ergodicity, and Positive Recurrent Subspaces

Irreducibility of a QMS is equivalent (under suitable conditions) to the absence of nontrivial subharmonic projections, or, physically, the inability to confine dynamics to a proper, nontrivial invariant subspace. In finite dimensions, irreducible QMSs are primitive, admitting a unique faithful invariant state and a strict spectral gap (Fagnola et al., 2014, Mousset et al., 24 Sep 2025). For infinite-dimensional systems, the relevant structure is given by the positive recurrent subspace R+\mathcal{R}_+: the supremum of supports of invariant normal states. The Frigerio–Verri–Carbone–Girotti ergodic theorem characterizes ergodicity in terms of the absorption and invariance properties of R+\mathcal{R}_+, granting an explicit description of convergence to equilibrium or reduction to minimal globally asymptotically stable subspaces (Mousset et al., 24 Sep 2025).

The spectrum of the predual generator L\mathcal{L}^* determines relaxation rates. Under irreducibility/primitivity, $0$ is a simple eigenvalue (stationary state), and all other eigenvalues have negative real part, with a spectral gap λ1>0\lambda_1>0 controlling exponential convergence in trace distance and various divergences (Bertini et al., 2022).

3. Stationary, Quasi-Stationary, and Quasi-Stationary States (QSS)

  • A stationary state ρ0\rho_0 satisfies Tt(ρ0)=ρ0T_t^*(\rho_0) = \rho_0 for all tt, i.e., it is a fixed point: L(ρ0)=0\mathcal{L}^*(\rho_0) = 0.
  • A quasi-stationary state (QSS) ρ\rho with decay rate λ>0\lambda>0 is a positive normal state satisfying

Tt(ρ)=eλtρ+o(eλt),as tT_t^*(\rho) = e^{-\lambda t} \rho + o(e^{-\lambda t}), \quad \text{as } t \to \infty

with Tt(ρ)eλtρ1=o(eλt)||T_t^*(\rho) - e^{-\lambda t} \rho||_1 = o(e^{-\lambda t}). Typically, suppρ\operatorname{supp}\rho is disjoint from any stationary state's support (Dhahri et al., 8 Aug 2025).

QSS characterize the leading corrections to equilibrium; they correspond to eigencomponents of L\mathcal{L}^* with strictly negative real eigenvalue, controlling subexponential relaxation and decay of "meta-stable" structures.

4. Spectral Characterization and Asymptotic Behavior

Let L\mathcal{L}^* be the generator acting on normal states. For primitive QMS:

  • The spectrum of L\mathcal{L}^* is contained in {z:Rez0}\{z: \operatorname{Re} z \leq 0\}.
  • $0$ is a simple eigenvalue with positive eigenvector ρstat\rho_{\mathrm{stat}} (the unique stationary state).
  • There is λ1>0\lambda_1>0 such that

σ(L){Rezλ1}={0,λ1}\sigma(\mathcal{L}^*) \cap \{\operatorname{Re} z \geq -\lambda_1\} = \{0, -\lambda_1\}

  • The corresponding eigenprojector Pλ1P_{-\lambda_1} targets the unique (up to scalar) quasi-stationary state.

The spectral expansion: Tt=ρstat1+eλ1tPλ1+O(eλ2t),λ2>λ1T_t^* = |\rho_{\mathrm{stat}}\rangle\langle \mathbf{1}| + e^{-\lambda_1 t} P_{-\lambda_1} + O(e^{-\lambda_2 t}), \quad \lambda_2 > \lambda_1 shows that the QSS dominates long-time (substationary) decay (Dhahri et al., 8 Aug 2025, Bertini et al., 2022).

5. Detailed Balance, Symmetry, and Gradient Flow Structure

Detailed balance (in its several quantum variants) is a symmetry property relating the QMS and the modular structure associated to a reference state σ\sigma:

  • KMS symmetry (detailed balance): TtT_t is self-adjoint on the GNS Hilbert space L2(M,σ)L^2(M, \sigma), or, for the generator, σ1/2L(A)σ1/2=L(σ1/2Aσ1/2)\sigma^{1/2} \mathcal{L}(A) \sigma^{-1/2} = \mathcal{L}^*(\sigma^{1/2} A \sigma^{-1/2}).
  • Bimodule (KMS or GNS) symmetry: Inclusions NMN \subset M and associated bimodule QMS allow a rich structure, with directional matrices and "hidden densities" associated to multi-dimensional symmetry backgrounds (Jiang et al., 6 Nov 2025, Wu et al., 13 Apr 2025).

For ergodic, detailed-balance QMSs, the generator L\mathcal{L}^* is the (modular) gradient flow of the quantum relative entropy D(σ)D(\cdot \| \sigma) with respect to a noncommutative 2-Wasserstein (or more general) Riemannian metric (Carlen et al., 2016, Brasil et al., 2022, Jiang et al., 6 Nov 2025). This structure underpins exponential decay of entropy and a suite of quantum functional and transport inequalities (e.g., modified logarithmic Sobolev, Talagrand, Poincaré).

6. Functional Inequalities, Convergence Rates, and Curvature-Dimension

The spectral data and symmetry properties enable the derivation of sharp functional inequalities:

  • Modified Logarithmic Sobolev Inequality (MLSI): For C>0C>0, D(ρ(t)σ)eCtD(ρ(0)σ)D(\rho(t) \| \sigma) \leq e^{-Ct} D(\rho(0)\|\sigma) is equivalent to the gradient-flow convexity of the entropy (Wirth, 12 May 2025).
  • Transport Inequalities: Quantum analogs of Talagrand and Ricci lower bounds provide geometric control on the quantum state space (Wirth et al., 2020, Wirth et al., 2021).
  • Poincaré Inequalities: Spectral gap estimates control the exponential convergence (mixing times) in trace norm and quantum χ2\chi^2 divergence (Bertini et al., 2022).

In suitable settings, the QMS satisfies noncommutative curvature-dimension (CD(K,N)CD(K,N)) conditions, generalizing Bakry–Émery theory (Wirth et al., 2021).

7. Examples and Advanced Structures

  • Quantum Walks: The QMS corresponding to continuous-time quantum walks is purely unitary, with GKSL generator L(A)=i[H,A]\mathcal{L}(A) = i[H, A] and no dissipative part, so it does not exhibit relaxation; only the center persists under long-time averages (Ko et al., 2013).
  • Covariant/Relativistic QMS: Poincaré-covariant QMS constructed via imprimitivity systems yield ergodic QMSs on unitary representations of relativistic systems, particularly with unique stationary states due to transitivity (Balu, 2021).
  • QMS on Compact Quantum Groups: Translation-invariant QMS correspond one-to-one to Lévy processes, with symmetry and potential theory characterized via generating functionals invariant under antipode/unitary antipode. This yields a full classification of Dirichlet forms, derivations, and spectral triples for compact and discrete (quantum) groups (Cipriani et al., 2012).

Summary Table: Classical/Quantum QMS Features

Feature Classical Markov Quantum Markov (QMS)
State space Probability measures Density operators (trace class)
Generator L(f)=AfL(f) = Af (infinitesimal) L(A)=i[H,A]+diss.\mathcal{L}(A) = i[H,A] + \text{diss.}
Stationary state Lμ0=0L^* \mu_0 = 0 L(ρ0)=0\mathcal{L}^*(\rho_0) = 0
Quasi-stationary state Lμ=λμL^* \mu = -\lambda \mu L(ρ)=λρ\mathcal{L}^*(\rho) = -\lambda \rho
Detailed balance LL reversible in L2(μ)L^2(\mu) GNS or KMS symmetry w.r.t. σ\sigma
Gradient flow/entropy H(νμ)H(\nu|\mu), Wasserstein-2 D(ρσ)D(\rho\|\sigma), noncomm. metric
Functional inequalities Log-Sobolev, Poincaré, etc. Quantum MLSI, Talagrand, Poincaré
Ergodicity/sp. gap Unique μ0\mu_0, gap λ\lambda Unique ρ0\rho_0, gap, QSS, etc.

References

  • "Quasi-stationary normal states for quantum Markov semigroups" (Dhahri et al., 8 Aug 2025)
  • "Thermodynamic formalism for continuous-time quantum Markov semigroups: the detailed balance condition, entropy, pressure and equilibrium quantum processes" (Brasil et al., 2022)
  • "On the relationship between a quantum Markov semigroup and its representation via linear stochastic Schr\"odinger equations" (Fagnola et al., 2014)
  • "Generators of Quantum Markov Semigroups" (Androulakis et al., 2014)
  • "Trace distance ergodicity for quantum Markov semigroups" (Bertini et al., 2022)
  • "Ergodic Properties of Quantum Markov Semigroups" (Mousset et al., 24 Sep 2025)
  • "Gradient flow and entropy inequalities for quantum Markov semigroups with detailed balance" (Carlen et al., 2016)
  • "Bimodule KMS Symmetric Quantum Markov Semigroups and Gradient Flows" (Jiang et al., 6 Nov 2025)
  • "Symmetries of Lévy processes on compact quantum groups, their Markov semigroups and potential theory" (Cipriani et al., 2012)
  • Additional sources as cited throughout.

Topic to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this topic yet.

Follow Topic

Get notified by email when new papers are published related to Quantum Markov Semigroups.