On Thursday, February 6, 2020 at 5:46:24 AM UTC-6, Philip Thrift wrote:
>
>
>
> On Thursday, February 6, 2020 at 4:50:27 AM UTC-6, Lawrence Crowell wrote:
>>
>> On Wednesday, February 5, 2020 at 3:25:42 PM UTC-6, Philip Thrift wrote:
>>>
>>>
>>>
>>> On Wednesday, February 5, 2020 at 9:25:26 AM UTC-6, Philip Thrift wrote:
>>>>
>>>>
>>>>
>>>> On Wednesday, February 5, 2020 at 9:19:00 AM UTC-6, Lawrence Crowell 
>>>> wrote:
>>>>>
>>>>> On Wednesday, February 5, 2020 at 6:06:18 AM UTC-6, Philip Thrift 
>>>>> wrote:
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Tuesday, February 4, 2020 at 6:47:41 AM UTC-6, John Clark wrote:
>>>>>>>
>>>>>>> REALITY.SYS Corrupted: Re-boot universe? (Y/N/Q)
>>>>>>>
>>>>>>>  John K Clark
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> @philipthrift
>>>>>>
>>>>>
>>>>> No hypercomputation. The event horizon of a black hole and what might 
>>>>> be called the quantum horizon are a parts or dual aspects of a general 
>>>>> epistemic horizon. 
>>>>>
>>>>> LC 
>>>>>
>>>>
>>>> What is a model of a relativistic computer that is not hypercomputing? 
>>>>
>>>> @philipthrift
>>>>
>>>
>>>
>>>
>>>
>>> I realize it is via this approach 
>>>
>>>
>>> quantumetric computer
>>>
>>> combines
>>>
>>> • quantum computer (quantum mechanics)
>>> • relativistic computer (general relativity)
>>>
>>>      =
>>>
>>> quantum neural network
>>>
>>>       https://en.wikipedia.org/wiki/Quantum_neural_network 
>>> <https://www.google.com/url?q=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FQuantum_neural_network&sa=D&sntz=1&usg=AFQjCNFqxiu_xyHY6jAMleCkdrkIvx1AbQ>
>>>
>>> https://arxiv.org/abs/1801.03918 
>>> <https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F1801.03918&sa=D&sntz=1&usg=AFQjCNFW7LSeNF65Axcrh9BfcEt4wuezMA>
>>>  
>>> - *an artificial quantum neural network based on gravity-like synaptic 
>>> connections and a symmetry structure that allows to describe the network in 
>>> terms of geometry of a d-dimensional space*
>>>
>>> The neural network can be described in terms of a quantum field, via 
>>> identifying the different neurons with the different momentum modes of the 
>>> field, while identifying the synaptic connections among the neurons with 
>>> the interactions among the corresponding momentum modes. Such a mapping 
>>> allows to attribute a well-defined sense of geometry to an intrinsically 
>>> non-local system, such as the neural network, and vice versa, it allows to 
>>> represent the quantum field model as a neural network.
>>>
>>>        
>>> @philipthrift
>>>
>>
>> Malament-Hogarth spacetimes rely upon an infinite chain of event that can 
>> be observed in some frame to occur in a finite time. These involve Cauchy 
>> sequences of events at some limit, such as with a Cauchy horizon. Cauchy 
>> horizon that occur in this timelike region require a violation of the 
>> Hawking-Penrose stress-energy condition, or that happen with the internal 
>> horizon in a Kerr or Reisner-Nordstrom spacetime. In this latter case 
>> Hawking radiation disconnects the inner horizon from I^∞, and thus 
>> terminates any hypercomputation. The violation of the Hawking-Penrose 
>> energy conditions lead to wormholes and exotic spacetimes that can give 
>> rise to closed timelike curves. These in turn can act to duplicate quantum 
>> states. In fact a range of conditions imposed by the Hawking-Penrose 
>> conditions has similar analogues to conditions in QM, such as no-signaling 
>> and others.
>>
>> The hypercomputation appears to be a generalization of a nonlocal hidden 
>> variables. To the extent these "exist" they do so beyond a general form of 
>> epistemic horizon and are then completely unobservable. 
>>
>> LC
>>
>
>
> The quantumetric neural network defined above
>
>
>      https://arxiv.org/pdf/1801.03918.pdf
>
> ( by Giorgi Dvali https://en.wikipedia.org/wiki/Giorgi_Dvali )
>
> makes no mention of hypercomputation, super-Tuting, or any of that stuff 
> that I can see.
>
> @philipthrift
>

The reference  https://arxiv.org/abs/1405.5555 
<https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F1405.5555&sa=D&sntz=1&usg=AFQjCNFQt15Cf6Kh635ESnRMEeqSCoEcsg>
 
you posted involves hyper-computation.

LC

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