435 research outputs found
Geometric optimization problems in quantum computation and discrete mathematics: Stabilizer states and lattices
This thesis consists of two parts:
Part I deals with properties of stabilizer states and their convex
hull, the stabilizer polytope. Stabilizer states, Pauli measurements
and Clifford unitaries are the three building blocks of the stabilizer
formalism whose computational power is limited by the Gottesman-
Knill theorem. This model is usually enriched by a magic state to get
a universal model for quantum computation, referred to as quantum
computation with magic states (QCM). The first part of this thesis
will investigate the role of stabilizer states within QCM from three
different angles.
The first considered quantity is the stabilizer extent, which provides
a tool to measure the non-stabilizerness or magic of a quantum state.
It assigns a quantity to each state roughly measuring how many stabilizer
states are required to approximate the state. It has been shown
that the extent is multiplicative under taking tensor products when
the considered state is a product state whose components are composed
of maximally three qubits. In Chapter 2, we will prove that
this property does not hold in general, more precisely, that the stabilizer
extent is strictly submultiplicative. We obtain this result as
a consequence of rather general properties of stabilizer states. Informally
our result implies that one should not expect a dictionary to be
multiplicative under taking tensor products whenever the dictionary
size grows subexponentially in the dimension.
In Chapter 3, we consider QCM from a resource theoretic perspective.
The resource theory of magic is based on two types of quantum
channels, completely stabilizer preserving maps and stabilizer operations.
Both classes have the property that they cannot generate additional
magic resources. We will show that these two classes of quantum
channels do not coincide, specifically, that stabilizer operations are a
strict subset of the set of completely stabilizer preserving channels.
This might have the consequence that certain tasks which are usually
realized by stabilizer operations could in principle be performed better
by completely stabilizer preserving maps.
In Chapter 4, the last one of Part I, we consider QCM via the polar
dual stabilizer polytope (also called the Lambda-polytope). This polytope
is a superset of the quantum state space and every quantum state
can be written as a convex combination of its vertices. A way to
classically simulate quantum computing with magic states is based on
simulating Pauli measurements and Clifford unitaries on the vertices
of the Lambda-polytope. The complexity of classical simulation with respect
to the polytope is determined by classically simulating the updates
of vertices under Clifford unitaries and Pauli measurements. However,
a complete description of this polytope as a convex hull of its vertices is
only known in low dimensions (for up to two qubits or one qudit when
odd dimensional systems are considered). We make progress on this
question by characterizing a certain class of operators that live on the
boundary of the Lambda-polytope when the underlying dimension is an odd
prime. This class encompasses for instance Wigner operators, which
have been shown to be vertices of Lambda. We conjecture that this class
contains even more vertices of Lambda. Eventually, we will shortly sketch
why applying Clifford unitaries and Pauli measurements to this class
of operators can be efficiently classically simulated.
Part II of this thesis deals with lattices. Lattices are discrete subgroups
of the Euclidean space. They occur in various different areas of
mathematics, physics and computer science. We will investigate two
types of optimization problems related to lattices.
In Chapter 6 we are concerned with optimization within the space of
lattices. That is, we want to compare the Gaussian potential energy
of different lattices. To make the energy of lattices comparable we
focus on lattices with point density one. In particular, we focus on
even unimodular lattices and show that, up to dimension 24, they are
all critical for the Gaussian potential energy. Furthermore, we find
that all n-dimensional even unimodular lattices with n 24 are local
minima or saddle points. In contrast in dimension 32, there are even
unimodular lattices which are local maxima and others which are not
even critical.
In Chapter 7 we consider flat tori R^n/L, where L is an n-dimensional
lattice. A flat torus comes with a metric and our goal is to approximate
this metric with a Hilbert space metric. To achieve this, we
derive an infinite-dimensional semidefinite optimization program that
computes the least distortion embedding of the metric space R^n/L into
a Hilbert space. This program allows us to make several interesting
statements about the nature of least distortion embeddings of flat tori.
In particular, we give a simple proof for a lower bound which gives
a constant factor improvement over the previously best lower bound
on the minimal distortion of an embedding of an n-dimensional flat
torus. Furthermore, we show that there is always an optimal embedding
into a finite-dimensional Hilbert space. Finally, we construct
optimal least distortion embeddings for the standard torus R^n/Z^n and
all 2-dimensional flat tori
Changes of endocannabinoid plasma levels following type I trauma
The endocannabinoid system has emerged as one of the most important facilitators of stress adaptation in the body. So far, little to no research took place concerning the endocannabinoid response to stress in humans. In this study, we investigated the influence of a type I trauma on endocannabinoid plasma levels in humans over a period of 6 months, compared with non-traumatized controls. We measured endocannabinoid plasma levels (using high performance liquid chromatography-tandem mass spectrometry) as well as hippocampal and amygdala volumes in fourteen participants who had experienced a psychic trauma and developed an acute stress disorder. Fourteen healthy non-traumatized age- and gender-matched controls were studied in comparison over a 6 months period. Data were collected at three points of time: within 48 hours after the traumatic event, after one month and after six months. At each point of time a psychiatric interview was conducted and the Clinician Administered PTSD Scale (CAPS), HAMD and BDI were rated. When 2-Arachidonoylglycerol (2-AG) levels were compared between traumatized subjects and non-traumatized controls, there was a statistical significant difference one month after trauma (p=0.046). Regarding endocannabinoid levels over the course of time, 2-AG decreased in the trauma group between one month and six months after the initial trauma. This finding was in line with the hypothesis that endocannabinoids act on-demand as protective mechanism, being released after a stressful stimulus to inhibit the development of posttraumatic sequelae. In traumatized subjects, anandamide levels after six months showed a strong negative correlation with hippocampal volumes at this time point. A statistically significant negative correlation between left amygdala volume at six months and anandamide level at this time point in traumatized subjects was found. In non-traumatized controls, remarkably, there were positive correlations of 2-AG levels and amygdala volumes one month after trauma, which were not detected at the other time points. In contrast, endocannabinoid levels were neither correlated with any demographic and clinical variable, nor with volumes of cingulate regions.
In conclusion, the results of our study point to a delayed and possibly regulatory response of the endocannabinoid system after a single psychic trauma over the course of six months in humans. Moreover, the data point to a genuine relation of peripheral endocannabinoid levels possibly reflecting central endocannabinoid activity and neuroplasticity in brain key regions involved in the generation of traumatic memories, i.e. hippocampus and amygdale
Efficient classical simulation of quantum computation beyond Wigner positivity
We present the generalization of the CNC formalism, based on closed and
noncontextual sets of Pauli observables, to the setting of
odd-prime-dimensional qudits. By introducing new CNC-type phase space point
operators, we construct a quasiprobability representation for quantum
computation which is covariant with respect to the Clifford group and
positivity preserving under Pauli measurements, and whose nonnegative sector
strictly contains the subtheory of quantum theory described by nonnegative
Wigner functions. This allows for a broader class of magic state quantum
circuits to be efficiently classically simulated than those covered by the
stabilizer formalism and Wigner function methods.Comment: 25 pages, 4 figure, 2 algorithm
The axiomatic and the operational approaches to resource theories of magic do not coincide
Stabiliser operations occupy a prominent role in the theory of fault-tolerant
quantum computing. They are defined operationally: by the use of Clifford
gates, Pauli measurements and classical control. Within the stabiliser
formalism, these operations can be efficiently simulated on a classical
computer, a result which is known as the Gottesman-Knill theorem. However, an
additional supply of magic states is enough to promote them to a universal,
fault-tolerant model for quantum computing. To quantify the needed resources in
terms of magic states, a resource theory of magic has been developed during the
last years. Stabiliser operations (SO) are considered free within this theory,
however they are not the most general class of free operations. From an
axiomatic point of view, these are the completely stabiliser-preserving (CSP)
channels, defined as those that preserve the convex hull of stabiliser states.
It has been an open problem to decide whether these two definitions lead to the
same class of operations. In this work, we answer this question in the
negative, by constructing an explicit counter-example. This indicates that
recently proposed stabiliser-based simulation techniques of CSP maps are
strictly more powerful than Gottesman-Knill-like methods. The result is
analogous to a well-known fact in entanglement theory, namely that there is a
gap between the class of local operations and classical communication (LOCC)
and the class of separable channels. Along the way, we develop a number of
auxiliary techniques which allow us to better characterise the set of CSP
channels.Comment: 10 pages + 12 pages appendix, 2 figures. Fixed grammar mistake in
title. Added one and two-qubit case. Corrected wrong equatio
Wigner's Theorem for stabilizer states and quantum designs
We describe the symmetry group of the stabilizer polytope for any number
of systems and any prime local dimension . In the qubit case, the symmetry
group coincides with the linear and anti-linear Clifford operations. In the
case of qudits, the structure is somewhat richer: for , it is a wreath
product of permutations of bases and permutations of the elements within each
basis. For , the symmetries are given by affine symplectic similitudes.
These are the affine maps that preserve the symplectic form of the underlying
discrete phase space up to a non-zero multiplier. We phrase these results with
respect to a number of a priori different notions of "symmetry'', including
Kadison symmetries (bijections that are compatible with convex combinations),
Wigner symmetries (bijections that preserve inner products), and symmetries
realized by an action on Hilbert space. Going beyond stabilizer states, we
extend an observation of Heinrich and Gross (Ref. [25]) and show that the
symmetries of fairly general sets of Hermitian operators are constrained by
certain moments. In particular: the symmetries of a set that behaves like a
3-design preserve Jordan products and are therefore realized by conjugation
with unitaries or anti-unitaries. (The structure constants of the Jordan
algebra are encoded in an order-three tensor, which we connect to the third
moments of a design). This generalizes Kadison's formulation of the classic
Wigner Theorem on quantum mechanical symmetries.Comment: 21 pages, v2: minor notation changes and references adde
Hidden variable model for quantum computation with magic states on qudits of any dimension
It was recently shown that a hidden variable model can be constructed for
universal quantum computation with magic states on qubits. Here we show that
this result can be extended, and a hidden variable model can be defined for
quantum computation with magic states on qudits with any Hilbert space
dimension. This model leads to a classical simulation algorithm for universal
quantum computation.Comment: 31 pages. v3=version accepted for publication in Quantu
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A Transmission Electron Microscope Study of Deep-Sea Manganese Nodules
Beurteilung des Kurzzeiteffektes transkutaner elektrischer Nervenstimulation (TENS) in der Therapie schmerzhafter Kraniomandibulärer Dysfunktionen
Ziel dieser randomisierten, placebokontrollierten, klinischen Studie war die Untersuchung des Kurzzeiteffektes transkutaner elektrischer Nervenstimulation (TENS) im Burst-Modus in der Therapie schmerzhafter Kraniomandibulärer Dysfunktionen (CMD).
Untersucht wurden die Parameter Schmerzreduktion, Verbesserung der Unterkiefermobilität und das subjetive Erfolgsgefühl der Patienten/innen (n=15 pro Gruppe).
Im Placebovergleich führte eine 30-minütige TENS-Behandlung im Burst-Modus (Einstellungsparameter: Asymmetrischer Bi-Phasen-Rechteckimpuls/Impulsdauer 80 Mikrosekunden/9 Impulse pro Burst mit einer Frequenz von 100 Hz/2 Bursts pro Sekunde/Individuell regelbare Impulsamplitude nach dem subjektiven Erfolgsempfinden/Maximale Spannung 9 V) zu einer statistisch hochsignifikanten unmittelbaren Schmerzreduktion (alpha=0,000), aber nicht zu einer kompletten Schmerzfreiheit. Die Dauer der Schmerzreduktion war kurzzeitig (1 h) und trat bei 20 Prozent der Patienten/innen nicht auf.
Ferner konnte im Placebovergleich eine statistisch signifikante Steigerung der maximalen Mundöffnung ohne Schmerz (alpha=0,002) sowie der Protrusion (alpha=0,040) beobachtet werden. Wie lange diese Steigerung anhielt, lässt sich mit dieser Studie nicht beantworten.
Die subjektive Patientenzufriedenheit war im Placebvergleich 24 h nach der TENS im Burst-Modus-Behandlung signifikant höher (alpha=0,046).
TENS im Burst-Modus mit den in der Studie untersuchten Stimulationsparameter kann als eine adjuvante therapeutische Maßnahme in der symptomatischen Therapie schmerzhafter Kraniomandibulärer Dysfunktionen empfohlen werden
Coordinated population activity underlying texture discrimination in rat barrel cortex
Rodents can robustly distinguish fine differences in texture using their whiskers, a capacity that depends on neuronal activity in primary somatosensory \u201cbarrel\u201d cortex. Here we explore how texture was collectively encoded by populations of three to seven neuronal clusters simultaneously recorded from barrel cortex while a rat performed a discrimination task. Each cluster corresponded to the single-unit or multiunit activity recorded at an individual electrode. To learn how the firing of different clusters combines to represent texture, we computed population activity vectors across moving time windows and extracted the signal available in the optimal linear combination of clusters. We quantified this signal using receiver operating characteristic analysis and compared it to that available in single clusters. Texture encoding was heterogeneous across neuronal clusters, and only a minority of clusters carried signals strong enough to support stimulus discrimination on their own. However, jointly recorded groups of clusters were always able to support texture discrimination at a statistically significant level, even in sessions where no individual cluster represented the stimulus. The discriminative capacity of neuronal activity was degraded when error trials were included in the data, compared to only correct trials, suggesting a link between the neuronal activity and the animal's performance. These analyses indicate that small groups of barrel cortex neurons can robustly represent texture identity through synergistic interactions, and suggest that neurons downstream to barrel cortex could extract texture identity on single trials through simple linear combination of barrel cortex responses
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