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QuantumInfo.Finite.Capacity

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definition

Λ1\Lambda_1 emulates Λ2\Lambda_2 via encoding and decoding maps

#Emulates

A quantum channel (CPTP map) Λ1:Matd1(C)Matd2(C)\Lambda_1: \text{Mat}_{d_1}(\mathbb{C}) \to \text{Mat}_{d_2}(\mathbb{C}) emulates another quantum channel Λ2:Matd3(C)Matd4(C)\Lambda_2: \text{Mat}_{d_3}(\mathbb{C}) \to \text{Mat}_{d_4}(\mathbb{C}) if there exist an encoding CPTP map E:Matd3(C)Matd1(C)E: \text{Mat}_{d_3}(\mathbb{C}) \to \text{Mat}_{d_1}(\mathbb{C}) and a decoding CPTP map D:Matd2(C)Matd4(C)D: \text{Mat}_{d_2}(\mathbb{C}) \to \text{Mat}_{d_4}(\mathbb{C}) such that their composition satisfies DΛ1E=Λ2D \circ \Lambda_1 \circ E = \Lambda_2.

definition

Channel A\mathcal{A} ϵ\epsilon-approximates B\mathcal{B} if ρ,F(A(ρ),B(ρ))1ϵ\forall \rho, F(\mathcal{A}(\rho), \mathcal{B}(\rho)) \geq 1 - \epsilon

#εApproximates

Let A\mathcal{A} and B\mathcal{B} be two completely positive trace-preserving (CPTP) maps (quantum channels) from a system of dimension d1d_1 to a system of dimension d2d_2. We say that A\mathcal{A} ϵ\epsilon-approximates B\mathcal{B} if for every input quantum state (density matrix) ρMState(d1)\rho \in \text{MState}(d_1), the fidelity between the output states F(A(ρ),B(ρ))F(\mathcal{A}(\rho), \mathcal{B}(\rho)) is at least 1ϵ1 - \epsilon, where ϵR\epsilon \in \mathbb{R}.

definition

RR is an achievable rate for CPTP map A\mathcal{A}

#AchievesRate

Let A:B(Hin)B(Hout)\mathcal{A}: \mathcal{B}(\mathcal{H}_{in}) \to \mathcal{B}(\mathcal{H}_{out}) be a completely positive trace-preserving (CPTP) map. A rate RRR \in \mathbb{R} is said to be achievable by A\mathcal{A} if for every ϵ>0\epsilon > 0, there exists an integer n>0n > 0 and a CPTP map B:B(Cd)B(Cd)\mathcal{B}: \mathcal{B}(\mathbb{C}^d) \to \mathcal{B}(\mathbb{C}^d) such that: 1. The nn-fold tensor product channel An\mathcal{A}^{\otimes n} emulates B\mathcal{B}. That is, there exist encoding and decoding CPTP maps E\mathcal{E} and D\mathcal{D} such that DAnE=B\mathcal{D} \circ \mathcal{A}^{\otimes n} \circ \mathcal{E} = \mathcal{B}. 2. The transmission rate satisfies log2dnR\frac{\log_2 d}{n} \geq R (or equivalently, log2dRn\log_2 d \geq R \cdot n). 3. The channel B\mathcal{B} is an ϵ\epsilon-approximation of the identity channel idd\text{id}_d, meaning that for every state ρ\rho, the fidelity F(B(ρ),ρ)1ϵF(\mathcal{B}(\rho), \rho) \geq 1 - \epsilon.

definition

Quantum capacity Q(A)Q(\mathcal{A}) of a channel A\mathcal{A} as the supremum of achievable rates.

#quantumCapacity

For a quantum channel A\mathcal{A} mapping states between dimensions d1d_1 and d2d_2 (represented as a completely positive trace-preserving map), its quantum capacity Q(A)Q(\mathcal{A}) is defined as the supremum of all achievable rates RRR \in \mathbb{R}. A rate RR is achievable if for every ε>0\varepsilon > 0, there exists an integer nn such that nn copies of the channel An\mathcal{A}^{\otimes n} can emulate a channel B\mathcal{B} with 1nlog2(dim(B))R\frac{1}{n}\log_2(\text{dim}(\mathcal{B})) \geq R, where B\mathcal{B} is ε\varepsilon-approximately the identity channel.

theorem

Every CPTP map emulates itself

#emulates_self

For any completely positive trace-preserving (CPTP) map Λ\Lambda, the map Λ\Lambda emulates itself. According to the definition of emulation, this implies there exist CPTP maps D\mathcal{D} and E\mathcal{E} such that DΛE=Λ\mathcal{D} \circ \Lambda \circ \mathcal{E} = \Lambda.

theorem

Emulation of quantum channels is transitive

#emulates_trans

Let Λ1,Λ2,\Lambda_1, \Lambda_2, and Λ3\Lambda_3 be completely positive trace-preserving (CPTP) maps (quantum channels). If Λ1\Lambda_1 emulates Λ2\Lambda_2 and Λ2\Lambda_2 emulates Λ3\Lambda_3, then Λ1\Lambda_1 emulates Λ3\Lambda_3. Here, a channel AA is said to emulate a channel BB if there exist CPTP maps D\mathcal{D} and E\mathcal{E} such that DAE=B\mathcal{D} \circ A \circ \mathcal{E} = B.

theorem

Every CPTP map Λ\Lambda satisfies ε-Approximates(Λ,Λ,0)\varepsilon\text{-Approximates}(\Lambda, \Lambda, 0)

#εApproximates_self

Let Λ\Lambda be a completely positive trace-preserving (CPTP) map from the space of matrix states Md1\mathcal{M}_{d_1} to Md2\mathcal{M}_{d_2}. Then Λ\Lambda 00-approximates itself. Specifically, for any state ρ\rho, the fidelity between Λ(ρ)\Lambda(\rho) and Λ(ρ)\Lambda(\rho) satisfies F(Λ(ρ),Λ(ρ))10F(\Lambda(\rho), \Lambda(\rho)) \geq 1 - 0.

theorem

ϵ\epsilon-approximation of quantum channels is monotone in ϵ\epsilon

#εApproximates_monotone

Let A\mathcal{A} and B\mathcal{B} be quantum channels (completely positive trace-preserving maps) from dimensions d1d_1 to d2d_2. If A\mathcal{A} is an ϵ0\epsilon_0-approximation of B\mathcal{B} (meaning for every state ρ\rho, the fidelity F(A(ρ),B(ρ))1ϵ0F(\mathcal{A}(\rho), \mathcal{B}(\rho)) \ge 1 - \epsilon_0), then for any ϵ1R\epsilon_1 \in \mathbb{R} such that ϵ0ϵ1\epsilon_0 \le \epsilon_1, A\mathcal{A} is also an ϵ1\epsilon_1-approximation of B\mathcal{B}.

theorem

Every CPTP map achieves rate 00

#achievesRate_0

For any completely positive trace-preserving (CPTP) map Λ\Lambda between finite-dimensional Hilbert spaces, the channel Λ\Lambda achieves a transmission rate of R=0R = 0 in the sense of quantum capacity.

theorem

The identity channel achieves a rate of log2(dim)\log_2(\text{dim})

#id_achievesRate_log_dim

Let d1d_1 be a finite type representing the dimension of a Hilbert space, and let II be the identity completely positive trace-preserving (CPTP) map on that space. Then the map II achieves a quantum communication rate R=log2(d1)R = \log_2(|d_1|), where d1|d_1| denotes the cardinality of the type d1d_1.

theorem

Quantum Achievable Rate Rlog2(din)R \le \log_2(d_{\text{in}})

#not_achievesRate_gt_log_dim_in

Let Λ:L(Cd1)L(Cd2)\Lambda: \mathcal{L}(\mathbb{C}^{d_1}) \to \mathcal{L}(\mathbb{C}^{d_2}) be a Completely Positive Trace-Preserving (CPTP) map (a quantum channel) where d1d_1 and d2d_2 are the dimensions of the input and output Hilbert spaces respectively. If a rate RRR \in \mathbb{R} satisfies R>log2(d1)R > \log_2(d_1), then the channel Λ\Lambda cannot achieve rate RR.

theorem

A CPTP map Λ\Lambda cannot achieve a rate R>log2(dimout(Λ))R > \log_2(\text{dim}_{\text{out}}(\Lambda))

#not_achievesRate_gt_log_dim_out

Let Λ\Lambda be a completely positive trace-preserving (CPTP) map from a system with dimension d1d_1 to a system with dimension d2d_2. For any rate RRR \in \mathbb{R}, if R>log2(d2)R > \log_2(d_2), then Λ\Lambda does not achieve rate RR (i.e., ¬AchievesRate(Λ,R)\neg \text{AchievesRate}(\Lambda, R)), where d2d_2 is the cardinality of the output type.

theorem

The set of achievable rates of a quantum channel is bounded above

#bddAbove_achievesRate

Let Λ\Lambda be a completely positive trace-preserving (CPTP) map from a system of dimension d1d_1 to a system of dimension d2d_2. The set of all achievable rates RRR \in \mathbb{R} for the channel Λ\Lambda is bounded above.

theorem

The quantum capacity of a CPTP map is non-negative (0Q(Λ)0 \le Q(\Lambda))

#zero_le_quantumCapacity

For any quantum channel (completely positive trace-preserving map) Λ\Lambda with input dimension d1d_1 and output dimension d2d_2, its quantum capacity Q(Λ)Q(\Lambda) is non-negative, i.e., 0Q(Λ)0 \le Q(\Lambda).

theorem

Quantum Capacity of Λ\Lambda is bounded by log2(dimin)\log_2(\text{dim}_{\text{in}})

#quantumCapacity_ge_log_dim_in

Let Λ\Lambda be a Completely Positive Trace-Preserving (CPTP) map with input dimension d1|d_1|. The quantum capacity Q(Λ)Q(\Lambda) of the channel satisfies: Q(Λ)log2(d1)Q(\Lambda) \le \log_2(|d_1|) where d1|d_1| denotes the cardinality of the finite type d1d_1 representing the input Hilbert space basis.

theorem

The LSD Theorem: Ic(ρ,Λ)Q(Λ)I_c(\rho, \Lambda) \leq Q(\Lambda)

#coherentInfo_le_quantumCapacity

For any quantum channel Λ\Lambda (represented as a completely positive trace-preserving map from dimension d1d_1 to d2d_2) and any input state ρ\rho in the space of states of dimension d1d_1, the single-copy coherent information Ic(ρ,Λ)I_c(\rho, \Lambda) is a lower bound for the quantum capacity Q(Λ)Q(\Lambda). That is, Ic(ρ,Λ)Q(Λ)I_c(\rho, \Lambda) \leq Q(\Lambda).

theorem

Quantum Capacity Q(Λ)Q(\Lambda) Equals the Limit of Coherent Information of nn-copy Channels

#quantumCapacity_eq_piProd_coherentInfo

Let Λ:B(Hd1)B(Hd2)\Lambda: \mathcal{B}(\mathcal{H}_{d_1}) \to \mathcal{B}(\mathcal{H}_{d_2}) be a completely positive trace-preserving (CPTP) map. The quantum capacity of Λ\Lambda, denoted Q(Λ)Q(\Lambda), is equal to the supremum of the set of rates rr such that there exists a natural number nNn \in \mathbb{N} and an input state ρ\rho on the nn-fold tensor product space Hd1n\mathcal{H}_{d_1}^{\otimes n} for which r=1nIc(ρ,Λn)r = \frac{1}{n} I_c(\rho, \Lambda^{\otimes n}), where IcI_c denotes the coherent information. Specifically, Q(Λ)=sup{rRnN,ρS(Hd1n),r=1nIc(ρ,Λn)},Q(\Lambda) = \sup \left\{ r \in \mathbb{R} \mid \exists n \in \mathbb{N}, \exists \rho \in \mathcal{S}(\mathcal{H}_{d_1}^{\otimes n}), r = \frac{1}{n} I_c(\rho, \Lambda^{\otimes n}) \right\}, where Λn\Lambda^{\otimes n} is the nn-copy tensor product channel i=1nΛ\bigotimes_{i=1}^n \Lambda.