4,955 research outputs found
Exponential Separation of Quantum and Classical Non-Interactive Multi-Party Communication Complexity
We give the first exponential separation between quantum and classical
multi-party communication complexity in the (non-interactive) one-way and
simultaneous message passing settings.
For every k, we demonstrate a relational communication problem between k
parties that can be solved exactly by a quantum simultaneous message passing
protocol of cost O(log n) and requires protocols of cost n^{c/k^2}, where c>0
is a constant, in the classical non-interactive one-way message passing model
with shared randomness and bounded error.
Thus our separation of corresponding communication classes is superpolynomial
as long as k=o(\sqrt{\log n / \log\log n}) and exponential for k=O(1)
Shared Randomness and Quantum Communication in the Multi-Party Model
We study shared randomness in the context of multi-party number-in-hand
communication protocols in the simultaneous message passing model. We show that
with three or more players, shared randomness exhibits new interesting
properties that have no direct analogues in the two-party case.
First, we demonstrate a hierarchy of modes of shared randomness, with the
usual shared randomness where all parties access the same random string as the
strongest form in the hierarchy. We show exponential separations between its
levels, and some of our bounds may be of independent interest. For example, we
show that the equality function can be solved by a protocol of constant length
using the weakest form of shared randomness, which we call "XOR-shared
randomness."
Second, we show that quantum communication cannot replace shared randomness
in the k-party case, where k >= 3 is any constant. We demonstrate a promise
function GP_k that can be computed by a classical protocol of constant length
when (the strongest form of) shared randomness is available, but any quantum
protocol without shared randomness must send n^Omega(1) qubits to compute it.
Moreover, the quantum complexity of GP_k remains n^Omega(1) even if the "second
strongest" mode of shared randomness is available. While a somewhat similar
separation was already known in the two-party case, in the multi-party case our
statement is qualitatively stronger:
* In the two-party case, only a relational communication problem with similar
properties is known.
* In the two-party case, the gap between the two complexities of a problem
can be at most exponential, as it is known that 2^(O(c)) log n qubits can
always replace shared randomness in any c-bit protocol. Our bounds imply that
with quantum communication alone, in general, it is not possible to simulate
efficiently even a three-bit three-party classical protocol that uses shared
randomness.Comment: 14 pages; v2: improved presentation, corrected statement of Theorem
2.1, corrected typo
A Lower Bound for Sampling Disjoint Sets
Suppose Alice and Bob each start with private randomness and no other input, and they wish to engage in a protocol in which Alice ends up with a set x subseteq[n] and Bob ends up with a set y subseteq[n], such that (x,y) is uniformly distributed over all pairs of disjoint sets. We prove that for some constant beta0 of the uniform distribution over all pairs of disjoint sets of size sqrt{n}
Strengths and Weaknesses of Quantum Fingerprinting
We study the power of quantum fingerprints in the simultaneous message
passing (SMP) setting of communication complexity. Yao recently showed how to
simulate, with exponential overhead, classical shared-randomness SMP protocols
by means of quantum SMP protocols without shared randomness
(-protocols). Our first result is to extend Yao's simulation to
the strongest possible model: every many-round quantum protocol with unlimited
shared entanglement can be simulated, with exponential overhead, by
-protocols. We apply our technique to obtain an efficient
-protocol for a function which cannot be efficiently solved
through more restricted simulations. Second, we tightly characterize the power
of the quantum fingerprinting technique by making a connection to arrangements
of homogeneous halfspaces with maximal margin. These arrangements have been
well studied in computational learning theory, and we use some strong results
obtained in this area to exhibit weaknesses of quantum fingerprinting. In
particular, this implies that for almost all functions, quantum fingerprinting
protocols are exponentially worse than classical deterministic SMP protocols.Comment: 13 pages, no figures, to appear in CCC'0
Classical and quantum fingerprinting with shared randomness and one-sided error
Within the simultaneous message passing model of communication complexity,
under a public-coin assumption, we derive the minimum achievable worst-case
error probability of a classical fingerprinting protocol with one-sided error.
We then present entanglement-assisted quantum fingerprinting protocols
attaining worst-case error probabilities that breach this bound.Comment: 10 pages, 1 figur
On The Multiparty Communication Complexity of Testing Triangle-Freeness
In this paper we initiate the study of property testing in simultaneous and
non-simultaneous multi-party communication complexity, focusing on testing
triangle-freeness in graphs. We consider the model,
where we have players receiving private inputs, and a coordinator who
receives no input; the coordinator can communicate with all the players, but
the players cannot communicate with each other. In this model, we ask: if an
input graph is divided between the players, with each player receiving some of
the edges, how many bits do the players and the coordinator need to exchange to
determine if the graph is triangle-free, or from triangle-free?
For general communication protocols, we show that
bits are sufficient to test triangle-freeness in
graphs of size with average degree (the degree need not be known in
advance). For protocols, where there is only one
communication round, we give a protocol that uses bits
when and when ; here, again, the average degree does not need to be
known in advance. We show that for average degree , our simultaneous
protocol is asymptotically optimal up to logarithmic factors. For higher
degrees, we are not able to give lower bounds on testing triangle-freeness, but
we give evidence that the problem is hard by showing that finding an edge that
participates in a triangle is hard, even when promised that at least a constant
fraction of the edges must be removed in order to make the graph triangle-free.Comment: To Appear in PODC 201
Non-locality and Communication Complexity
Quantum information processing is the emerging field that defines and
realizes computing devices that make use of quantum mechanical principles, like
the superposition principle, entanglement, and interference. In this review we
study the information counterpart of computing. The abstract form of the
distributed computing setting is called communication complexity. It studies
the amount of information, in terms of bits or in our case qubits, that two
spatially separated computing devices need to exchange in order to perform some
computational task. Surprisingly, quantum mechanics can be used to obtain
dramatic advantages for such tasks.
We review the area of quantum communication complexity, and show how it
connects the foundational physics questions regarding non-locality with those
of communication complexity studied in theoretical computer science. The first
examples exhibiting the advantage of the use of qubits in distributed
information-processing tasks were based on non-locality tests. However, by now
the field has produced strong and interesting quantum protocols and algorithms
of its own that demonstrate that entanglement, although it cannot be used to
replace communication, can be used to reduce the communication exponentially.
In turn, these new advances yield a new outlook on the foundations of physics,
and could even yield new proposals for experiments that test the foundations of
physics.Comment: Survey paper, 63 pages LaTeX. A reformatted version will appear in
Reviews of Modern Physic
- …