
3
Input Output
Noisy Channel
Qubit C
Qubit A
Field
Qubit B
|ψCA⟩
|ψCB ⟩
UA
|S⟩A
ϕInternal Interactions
UB
ϕ′
|0⟩B
tAtB
FIG. 2: Quantum coherent information is a measure of
quantum information flowing through a quantum channel. To
compute it, we use the above circuit diagram. Initially, Qubit
A is entangled with Qubit C in a Bell state. Then Qubit A
coupled to the Field φthrough UAand later Qubit B |0⟩Bis
similarly coupled through UB. Finally, the entanglement is
measured between Qubit B and Qubit C. If these qubits are
entangled, then the coherent information is positive and
quantum information flowed through the noisy channel.
sary conditions of just such a channel [5–7, 35]. They have
shown that UDW unitaries which behave as controlled uni-
tary gates, lead to entanglement-breaking channels when pro-
cessed alone. However, carefully applying two of these rank-
one unitaries breaks the controlled-gate structure of the cir-
cuit, allowing them to properly encode (or decode) informa-
tion from a spin structure onto a scalar bosonic field. In other
words, the channel created by gates with these unitaries can
have a positive-valued coherent information that scales with
coupling and smearing parameters.
More elusive is a schematic for strongly coupled fermionic
systems using UDW detectors. As we will demonstrate,
the formalism describing quantum channels, traces over the
field and results with a correlator of field operators. Map-
ping fermions to bosons through bosonization has an equiva-
lence at the level of the correlators. We find that through the
bosonization of our Luttinger liquid, we can create different
approaches to solve this problem. Section III aims to provide
a library of these gates which enable channels with non-zero
capacity. Furthermore, we claim that careful parameter selec-
tion can theoretically create a near-perfect quantum channel.
B. Design parameters governing channel performance
There are many parameters governing a field-mediated
quantum channel between two qubits. We can separate the
channel into two components, gates between the qubit and
field and the propagation pathway the quantum information
travels along within the field itself.
Generally, a gate between a qubit and a field is governed
by a coupling function J(x,t). We can break this function into
three factors as is common in the relativistic quantum infor-
mation literature. One is a switching function χ(t)normal-
ized to Rdt χ(t) = 1 that turns the gate on and off. Another is
a smearing function p(x,y)that couples a qubit at xto the field
at various points y. It too is normalized with Rdy p(x,y) = 1.
Ideally, both χ(t)and p(x,y)are non-negative functions. Pre-
sumably, p(x,y)is non-zero only inside the quantum dot
(Qdot) hosting the qubit. Finally, there is the overall dimen-
sionless strength of the coupling J. Hence the coupling func-
tion J(x,t)is naturally parameterized by this strength J, a
switching time tsw and a smearing length λs.
For our models in Sec. III, we use a Dirac delta-like switch-
ing function with tsw =0, a mathematically convenient but
physically impossible situation. It allows the gate to produce
a change in the field that remains perfectly localized within
the smearing length. For tsw >0, during the action of the gate
information will spread away from the qubit at the velocity
v, the effective speed of light governing the relativistic field.
Hence, if we have tsw <λs/v, the effect of the gate will remain
nearly localized within the smearing length, and a physically
realizable gate will behave similarly to our idealized gates.
Given λs,tsw, and v, we now have two dimensionless pa-
rameters governing the design of a gate: the coupling strength
Jand the gate-localization quality Qloc =tswv/λs. A small
Qloc is a design constraint for a UDW quantum computer. If
it is too large, quantum information will spread over large dis-
tances and during the action of the gate making, it is difficult
to recapture. A small J, however, implies the gate has little ef-
fect. Hence for good channel performance, we will want gates
with a small Qloc and large J.
Earlier studies, Refs. 17, 36 identify another design con-
straint of quantum information channels in condensed matter
physics. Though different from an UDW Quantum Computer,
Refs. 17, 36 provide an approach to carry out such a process
by modeling a dangling qubit near a topologically protected
edge state or an end spin of a spin chain. Their perturba-
tive approach offers no analytic limits of a perfect quantum
information channel (a proof can be found in the discussion
surrounding Eq. 16 of Ref. 5). However, it offers other in-
sights, including identifying internal interactions that promote
scrambling. This study therefore highlights an important de-
sign criteria: to study quantum information in a quantum ma-
terial, it must flow and be picked up within the scrambling
time tsof the material or it will be lost.
We therefore need to understand how, as the information
propagates, it is subject to scrambling by interaction effects
[37–39]. Measurements on the target qubit may detect the on-
set of quantum chaos caused by the system’s inherent disorder
[37, 40, 41]. Similarly, if the information runs into a magnetic
impurity acting like an uncontrolled qubit, it may be stolen by
it and never reach the intended qubit [42]. The information
could also be taken away by phonons and spread throughout
the host material [43]. So this intermediate stage is simultane-
ously an opportunity to study the physics of the host quantum
material at a quantum information level and a constraint on
the performance of the communication —it limits the distance
between communicating qubits to v/ts.
Given the above design constraints, we next turn to the
question; in ideal circumstances, does a perfect communica-
tion channel exist for qubits coupled to Luttinger liquids?